1
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Bermejo GA, Tjandra N, Clore GM, Schwieters CD. Xplor-NIH: Better parameters and protocols for NMR protein structure determination. Protein Sci 2024; 33:e4922. [PMID: 38501482 PMCID: PMC10962493 DOI: 10.1002/pro.4922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 03/20/2024]
Abstract
The present work describes an update to the protein covalent geometry and atomic radii parameters in the Xplor-NIH biomolecular structure determination package. In combination with an improved treatment of selected non-bonded interactions between atoms three bonds apart, such as those involving methyl hydrogens, and a previously developed term that affects the system's gyration volume, the new parameters are tested using structure calculations on 30 proteins with restraints derived from nuclear magnetic resonance data. Using modern structure validation criteria, including several formally adopted by the Protein Data Bank, and a clear measure of structural accuracy, the results show superior performance relative to previous Xplor-NIH implementations. Additionally, the Xplor-NIH structures compare favorably against originally determined NMR models.
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Affiliation(s)
- Guillermo A. Bermejo
- Laboratory of Chemical PhysicsNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of HealthBethesdaMarylandUSA
| | - Nico Tjandra
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMarylandUSA
| | - G. Marius Clore
- Laboratory of Chemical PhysicsNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of HealthBethesdaMarylandUSA
| | - Charles D. Schwieters
- Laboratory of Chemical PhysicsNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of HealthBethesdaMarylandUSA
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2
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Dhavale DD, Barclay AM, Borcik CG, Basore K, Berthold DA, Gordon IR, Liu J, Milchberg MH, O'Shea JY, Rau MJ, Smith Z, Sen S, Summers B, Smith J, Warmuth OA, Perrin RJ, Perlmutter JS, Chen Q, Fitzpatrick JAJ, Schwieters CD, Tajkhorshid E, Rienstra CM, Kotzbauer PT. Structure of alpha-synuclein fibrils derived from human Lewy body dementia tissue. Nat Commun 2024; 15:2750. [PMID: 38553463 PMCID: PMC10980826 DOI: 10.1038/s41467-024-46832-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/12/2024] [Indexed: 04/02/2024] Open
Abstract
The defining feature of Parkinson disease (PD) and Lewy body dementia (LBD) is the accumulation of alpha-synuclein (Asyn) fibrils in Lewy bodies and Lewy neurites. Here we develop and validate a method to amplify Asyn fibrils extracted from LBD postmortem tissue samples and use solid state nuclear magnetic resonance (SSNMR) studies to determine atomic resolution structure. Amplified LBD Asyn fibrils comprise a mixture of single protofilament and two protofilament fibrils with very low twist. The protofilament fold is highly similar to the fold determined by a recent cryo-electron microscopy study for a minority population of twisted single protofilament fibrils extracted from LBD tissue. These results expand the structural characterization of LBD Asyn fibrils and approaches for studying disease mechanisms, imaging agents and therapeutics targeting Asyn.
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Affiliation(s)
- Dhruva D Dhavale
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Alexander M Barclay
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Collin G Borcik
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Katherine Basore
- Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Deborah A Berthold
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Isabelle R Gordon
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jialu Liu
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Moses H Milchberg
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Jennifer Y O'Shea
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Michael J Rau
- Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Zachary Smith
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Soumyo Sen
- Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Brock Summers
- Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - John Smith
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Owen A Warmuth
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Richard J Perrin
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joel S Perlmutter
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Radiology, Neuroscience, Physical Therapy and Occupational Therapy, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Qian Chen
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - James A J Fitzpatrick
- Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Emad Tajkhorshid
- Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Chad M Rienstra
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI, 53706, USA.
- National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, WI, 53706, USA.
| | - Paul T Kotzbauer
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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3
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Lu X, Chandravanshi M, Sabbasani VR, Gaikwad S, Hughitt VK, Gyabaah-Kessie N, Scroggins BT, Das S, Myint W, Clapp ME, Schwieters CD, Dyba MA, Bolhuis DL, Koscielniak JW, Andresson T, Emanuele MJ, Brown NG, Matsuo H, Chari R, Citrin DE, Mock BA, Swenson RE, Walters KJ. A structure-based designed small molecule depletes hRpn13 Pru and a select group of KEN box proteins. Nat Commun 2024; 15:2485. [PMID: 38509117 PMCID: PMC10954691 DOI: 10.1038/s41467-024-46644-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 02/22/2024] [Indexed: 03/22/2024] Open
Abstract
Proteasome subunit hRpn13 is partially proteolyzed in certain cancer cell types to generate hRpn13Pru by degradation of its UCHL5/Uch37-binding DEUBAD domain and retention of an intact proteasome- and ubiquitin-binding Pru domain. By using structure-guided virtual screening, we identify an hRpn13 binder (XL44) and solve its structure ligated to hRpn13 Pru by integrated X-ray crystallography and NMR to reveal its targeting mechanism. Surprisingly, hRpn13Pru is depleted in myeloma cells following treatment with XL44. TMT-MS experiments reveal a select group of off-targets, including PCNA clamp-associated factor PCLAF and ribonucleoside-diphosphate reductase subunit M2 (RRM2), that are similarly depleted by XL44 treatment. XL44 induces hRpn13-dependent apoptosis and also restricts cell viability by a PCLAF-dependent mechanism. A KEN box, but not ubiquitination, is required for XL44-induced depletion of PCLAF. Here, we show that XL44 induces ubiquitin-dependent loss of hRpn13Pru and ubiquitin-independent loss of select KEN box containing proteins.
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Affiliation(s)
- Xiuxiu Lu
- Protein Processing Section, Center for Structural Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Monika Chandravanshi
- Protein Processing Section, Center for Structural Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Venkata R Sabbasani
- Chemistry and Synthesis Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Snehal Gaikwad
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - V Keith Hughitt
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nana Gyabaah-Kessie
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bradley T Scroggins
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sudipto Das
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Wazo Myint
- Cancer Innovation Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Michelle E Clapp
- Genome Modification Core, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Marzena A Dyba
- Biophysics Resource, Center for Structural Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Derek L Bolhuis
- Department of Biochemistry and Biophysics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Janusz W Koscielniak
- Basic Science Program, Leidos Biomedical Research Inc., NMR Facility for Biological Research, Center for Structural Biology, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Thorkell Andresson
- Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Michael J Emanuele
- Department of Pharmacology and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicholas G Brown
- Department of Pharmacology and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hiroshi Matsuo
- Cancer Innovation Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Raj Chari
- Genome Modification Core, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Deborah E Citrin
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Beverly A Mock
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rolf E Swenson
- Chemistry and Synthesis Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kylie J Walters
- Protein Processing Section, Center for Structural Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA.
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4
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Baskaran K, Ploskon E, Tejero R, Yokochi M, Harrus D, Liang Y, Peisach E, Persikova I, Ramelot TA, Sekharan M, Tolchard J, Westbrook JD, Bardiaux B, Schwieters CD, Patwardhan A, Velankar S, Burley SK, Kurisu G, Hoch JC, Montelione GT, Vuister GW, Young JY. Restraint validation of biomolecular structures determined by NMR in the Protein Data Bank. Structure 2024:S0969-2126(24)00050-9. [PMID: 38490206 DOI: 10.1016/j.str.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/13/2024] [Accepted: 02/19/2024] [Indexed: 03/17/2024]
Abstract
Biomolecular structure analysis from experimental NMR studies generally relies on restraints derived from a combination of experimental and knowledge-based data. A challenge for the structural biology community has been a lack of standards for representing these restraints, preventing the establishment of uniform methods of model-vs-data structure validation against restraints and limiting interoperability between restraint-based structure modeling programs. The NEF and NMR-STAR formats provide a standardized approach for representing commonly used NMR restraints. Using these restraint formats, a standardized validation system for assessing structural models of biopolymers against restraints has been developed and implemented in the wwPDB OneDep data deposition-validation-biocuration system. The resulting wwPDB restraint violation report provides a model vs. data assessment of biomolecule structures determined using distance and dihedral restraints, with extensions to other restraint types currently being implemented. These tools are useful for assessing NMR models, as well as for assessing biomolecular structure predictions based on distance restraints.
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Affiliation(s)
- Kumaran Baskaran
- Biological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA.
| | - Eliza Ploskon
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical Biology, University of Leicester, Leicester LE1 7RH, UK
| | - Roberto Tejero
- Departamento de Quίmica Fίsica, Universidad de Valencia, Dr. Moliner, 50 46100 Burjassot, Valencia, Spain
| | - Masashi Yokochi
- Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan; Protein Data Bank Japan, Protein Research Foundation, Minoh, Osaka 562-8686, Japan
| | - Deborah Harrus
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Yuhe Liang
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ezra Peisach
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Irina Persikova
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Theresa A Ramelot
- Department of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Monica Sekharan
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - James Tolchard
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Benjamin Bardiaux
- Department of Structural Biology and Chemistry, Institut Pasteur, Université Paris Cité, CNRS UMR3528, 75015 Paris, France
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Ardan Patwardhan
- The Electron Microscopy Data Bank, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Sameer Velankar
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, La Jolla, CA, USA; Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Genji Kurisu
- Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan; Protein Data Bank Japan, Protein Research Foundation, Minoh, Osaka 562-8686, Japan
| | - Jeffrey C Hoch
- Biological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA
| | - Gaetano T Montelione
- Department of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
| | - Geerten W Vuister
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical Biology, University of Leicester, Leicester LE1 7RH, UK.
| | - Jasmine Y Young
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
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5
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Baskaran K, Ploskon E, Tejero R, Yokochi M, Harrus D, Liang Y, Peisach E, Persikova I, Ramelot TA, Sekharan M, Tolchard J, Westbrook JD, Bardiaux B, Schwieters CD, Patwardhan A, Velankar S, Burley SK, Kurisu G, Hoch JC, Montelione GT, Vuister GW, Young JY. Restraint Validation of Biomolecular Structures Determined by NMR in the Protein Data Bank. bioRxiv 2024:2024.01.15.575520. [PMID: 38328042 PMCID: PMC10849500 DOI: 10.1101/2024.01.15.575520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Biomolecular structure analysis from experimental NMR studies generally relies on restraints derived from a combination of experimental and knowledge-based data. A challenge for the structural biology community has been a lack of standards for representing these restraints, preventing the establishment of uniform methods of model-vs-data structure validation against restraints and limiting interoperability between restraint-based structure modeling programs. The NMR exchange (NEF) and NMR-STAR formats provide a standardized approach for representing commonly used NMR restraints. Using these restraint formats, a standardized validation system for assessing structural models of biopolymers against restraints has been developed and implemented in the wwPDB OneDep data deposition-validation-biocuration system. The resulting wwPDB Restraint Violation Report provides a model vs. data assessment of biomolecule structures determined using distance and dihedral restraints, with extensions to other restraint types currently being implemented. These tools are useful for assessing NMR models, as well as for assessing biomolecular structure predictions based on distance restraints.
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Affiliation(s)
- Kumaran Baskaran
- Biological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA
| | - Eliza Ploskon
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical Biology, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Roberto Tejero
- Departamento de Quίmica Fίsica, Universidad de Valencia, Dr. Moliner, 50 46100-Burjassot, Valencia, Spain
| | - Masashi Yokochi
- Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan
- Protein Data Bank Japan, Protein Research Foundation, Minoh, Osaka 562-8686, Japan
| | - Deborah Harrus
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Yuhe Liang
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ezra Peisach
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Irina Persikova
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Theresa A Ramelot
- Dept of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York, 12180 USA
| | - Monica Sekharan
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - James Tolchard
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Benjamin Bardiaux
- Department of Structural Biology and Chemistry, Institut Pasteur, Université Paris Cité, CNRS UMR3528, 75015 Paris, France
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Ardan Patwardhan
- The Electron Microscopy Data Bank, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sameer Velankar
- Protein Data Bank in Europe, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, California, USA
- Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Genji Kurisu
- Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan
- Protein Data Bank Japan, Protein Research Foundation, Minoh, Osaka 562-8686, Japan
| | - Jeffrey C Hoch
- Biological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030-3305, USA
| | - Gaetano T Montelione
- Dept of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York, 12180 USA
- Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Geerten W Vuister
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical Biology, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Jasmine Y Young
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
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6
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Maji A, Soutar CP, Zhang J, Lewandowska A, Uno BE, Yan S, Shelke Y, Murhade G, Nimerovsky E, Borcik CG, Arango AS, Lange JD, Marin-Toledo JP, Lyu Y, Bailey KL, Roady PJ, Holler JT, Khandelwal A, SantaMaria AM, Sanchez H, Juvvadi PR, Johns G, Hageman MJ, Krise J, Gebremariam T, Youssef EG, Bartizal K, Marr KA, Steinbach WJ, Ibrahim AS, Patterson TF, Wiederhold NP, Andes DR, Pogorelov TV, Schwieters CD, Fan TM, Rienstra CM, Burke MD. Tuning sterol extraction kinetics yields a renal-sparing polyene antifungal. Nature 2023; 623:1079-1085. [PMID: 37938782 PMCID: PMC10883201 DOI: 10.1038/s41586-023-06710-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 10/04/2023] [Indexed: 11/09/2023]
Abstract
Decades of previous efforts to develop renal-sparing polyene antifungals were misguided by the classic membrane permeabilization model1. Recently, the clinically vital but also highly renal-toxic small-molecule natural product amphotericin B was instead found to kill fungi primarily by forming extramembraneous sponge-like aggregates that extract ergosterol from lipid bilayers2-6. Here we show that rapid and selective extraction of fungal ergosterol can yield potent and renal-sparing polyene antifungals. Cholesterol extraction was found to drive the toxicity of amphotericin B to human renal cells. Our examination of high-resolution structures of amphotericin B sponges in sterol-free and sterol-bound states guided us to a promising structural derivative that does not bind cholesterol and is thus renal sparing. This derivative was also less potent because it extracts ergosterol more slowly. Selective acceleration of ergosterol extraction with a second structural modification yielded a new polyene, AM-2-19, that is renal sparing in mice and primary human renal cells, potent against hundreds of pathogenic fungal strains, resistance evasive following serial passage in vitro and highly efficacious in animal models of invasive fungal infections. Thus, rational tuning of the dynamics of interactions between small molecules may lead to better treatments for fungal infections that still kill millions of people annually7,8 and potentially other resistance-evasive antimicrobials, including those that have recently been shown to operate through supramolecular structures that target specific lipids9.
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Affiliation(s)
- Arun Maji
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Molecule Maker Lab, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Corinne P Soutar
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Jiabao Zhang
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Agnieszka Lewandowska
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Brice E Uno
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Su Yan
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yogesh Shelke
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Ganesh Murhade
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Evgeny Nimerovsky
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department for NMR-Based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany
| | - Collin G Borcik
- Molecule Maker Lab, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, WI, USA
| | - Andres S Arango
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Justin D Lange
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | | | - Yinghuan Lyu
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Keith L Bailey
- Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Patrick J Roady
- Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Jordan T Holler
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Anuj Khandelwal
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Anna M SantaMaria
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Hiram Sanchez
- Department of Medicine, Section of Infectious Disease, University of Wisconsin-Madison, Madison, WI, USA
| | - Praveen R Juvvadi
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Michael J Hageman
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
| | - Joanna Krise
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
| | | | - Eman G Youssef
- Division of Infectious Diseases, The Lundquist Institute, Torrance, CA, USA
| | | | | | - William J Steinbach
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Ashraf S Ibrahim
- Division of Infectious Diseases, The Lundquist Institute, Torrance, CA, USA
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Thomas F Patterson
- Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Nathan P Wiederhold
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - David R Andes
- Department of Medicine, Section of Infectious Disease, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA
| | - Taras V Pogorelov
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- School of Chemical Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Timothy M Fan
- Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Chad M Rienstra
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
- National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, WI, USA.
- Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI, USA.
| | - Martin D Burke
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
- Molecule Maker Lab Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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7
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Degenhardt MFS, Degenhardt HF, Bhandari YR, Lee YT, Ding J, Heinz WF, Stagno JR, Schwieters CD, Zhang J, Wang YX. Determining structures of individual RNA conformers using atomic force microscopy images and deep neural networks. Res Sq 2023:rs.3.rs-2798658. [PMID: 37425706 PMCID: PMC10327248 DOI: 10.21203/rs.3.rs-2798658/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The vast percentage of the human genome is transcribed into RNA, many of which contain various structural elements and are important for functions. RNA molecules are conformationally heterogeneous and functionally dyanmics1, even when they are structured and well-folded2, which limit the applicability of methods such as NMR, crystallography, or cryo-EM. Moreover, because of the lack of a large structure RNA database, and no clear correlation between sequence and structure, approaches like AlphaFold3 for protein structure prediction, do not apply to RNA. Therefore determining the structures of heterogeneous RNA is an unmet challenge. Here we report a novel method of determining RNA three-dimensional topological structures using deep neural networks and atomic force microscopy (AFM) images of individual RNA molecules in solution. Owing to the high signal-to-noise ratio of AFM, our method is ideal for capturing structures of individual conformationally heterogeneous RNA. We show that our method can determine 3D topological structures of any large folded RNA conformers, from ~ 200 to ~ 420 residues, the size range that most functional RNA structures or structural elements fall into. Thus our method addresses one of the major challenges in frontier RNA structural biology and may impact our fundamental understanding of RNA structure.
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Affiliation(s)
- Maximilia F S Degenhardt
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - Hermann F Degenhardt
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - Yuba R Bhandari
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - Yun-Tzai Lee
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - Jienyu Ding
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - William F Heinz
- Optical Microscopy and Analysis Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Jason R Stagno
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health; Bethesda, USA
| | - Jinwei Zhang
- Structural Biology of Noncoding RNAs and Ribonucleoproteins Section, Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health; Bethesda, USA
| | - Yun-Xing Wang
- Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute; Frederick, USA
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8
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Chao FA, Chan AH, Dharmaiah S, Schwieters CD, Tran TH, Taylor T, Ramakrishnan N, Esposito D, Nissley DV, McCormick F, Simanshu DK, Cornilescu G. Reduced dynamic complexity allows structure elucidation of an excited state of KRAS G13D. Commun Biol 2023; 6:594. [PMID: 37268708 DOI: 10.1038/s42003-023-04960-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023] Open
Abstract
Localized dynamics of RAS, including regions distal to the nucleotide-binding site, is of high interest for elucidating the mechanisms by which RAS proteins interact with effectors and regulators and for designing inhibitors. Among several oncogenic mutants, methyl relaxation dispersion experiments reveal highly synchronized conformational dynamics in the active (GMPPNP-bound) KRASG13D, which suggests an exchange between two conformational states in solution. Methyl and 31P NMR spectra of active KRASG13D in solution confirm a two-state ensemble interconverting on the millisecond timescale, with a major Pγ atom peak corresponding to the dominant State 1 conformation and a secondary peak indicating an intermediate state different from the known State 2 conformation recognized by RAS effectors. High-resolution crystal structures of active KRASG13D and KRASG13D-RAF1 RBD complex provide snapshots of the State 1 and 2 conformations, respectively. We use residual dipolar couplings to solve and cross-validate the structure of the intermediate state of active KRASG13D, showing a conformation distinct from those of States 1 and 2 outside the known flexible switch regions. The dynamic coupling between the conformational exchange in the effector lobe and the breathing motion in the allosteric lobe is further validated by a secondary mutation in the allosteric lobe, which affects the conformational population equilibrium.
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Affiliation(s)
- Fa-An Chao
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA.
| | - Albert H Chan
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Srisathiyanarayanan Dharmaiah
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Building 12A, 20892-5624, Bethesda, MD, USA
| | - Timothy H Tran
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Troy Taylor
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Nitya Ramakrishnan
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Dominic Esposito
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Dwight V Nissley
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
| | - Frank McCormick
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, CA, 94158, USA
| | - Dhirendra K Simanshu
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA.
| | - Gabriel Cornilescu
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, MD, 21701, USA.
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9
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Cai M, Tugarinov V, Chaitanya Chiliveri S, Huang Y, Schwieters CD, Mizuuchi K, Clore GM. Interaction of the bacterial division regulator MinE with lipid bicelles studied by NMR spectroscopy. J Biol Chem 2023; 299:103037. [PMID: 36806683 PMCID: PMC10031476 DOI: 10.1016/j.jbc.2023.103037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/18/2023] Open
Abstract
The bacterial MinE and MinD division regulatory proteins form a standing wave enabling MinC, which binds MinD, to inhibit FtsZ polymerization everywhere except at the midcell, thereby assuring correct positioning of the cytokinetic septum and even distribution of contents to daughter cells. The MinE dimer undergoes major structural rearrangements between a resting six-stranded state present in the cytoplasm, a membrane-bound state, and a four-stranded active state bound to MinD on the membrane, but it is unclear which MinE motifs interact with the membrane in these different states. Using NMR, we probe the structure and global dynamics of MinE bound to disc-shaped lipid bicelles. In the bicelle-bound state, helix α1 no longer sits on top of the six-stranded β-sheet, losing any contact with the protein core, but interacts directly with the bicelle surface; the structure of the protein core remains unperturbed and also interacts with the bicelle surface via helix α2. Binding may involve a previously identified excited state of free MinE in which helix α1 is disordered, thereby allowing it to target the membrane surface. Helix α1 and the protein core undergo nanosecond rigid body motions of differing amplitudes in the plane of the bicelle surface. Global dynamics on the sub-millisecond time scale between a ground state and a sparsely populated excited state are also observed and may represent a very early intermediate on the transition path between the resting six-stranded and active four-stranded conformations. In summary, our results provide insights into MinE structural rearrangements important during bacterial cell division.
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Affiliation(s)
- Mengli Cai
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Vitali Tugarinov
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Sai Chaitanya Chiliveri
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Ying Huang
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Charles D Schwieters
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA; Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Kyoshi Mizuuchi
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
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10
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Dhavale DD, Barclay AM, Borcik CG, Basore K, Gordon IR, Liu J, Milchberg MH, O’shea J, Rau MJ, Smith Z, Sen S, Summers B, Smith J, Warmuth OA, Chen Q, Fitzpatrick JAJ, Schwieters CD, Tajkhorshid E, Rienstra CM, Kotzbauer PT. Structure of alpha-synuclein fibrils derived from human Lewy body dementia tissue. bioRxiv 2023:2023.01.09.523303. [PMID: 36711931 PMCID: PMC9882085 DOI: 10.1101/2023.01.09.523303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The defining feature of Parkinson disease (PD) and Lewy body dementia (LBD) is the accumulation of alpha-synuclein (Asyn) fibrils in Lewy bodies and Lewy neurites. We developed and validated a novel method to amplify Asyn fibrils extracted from LBD postmortem tissue samples and used solid state nuclear magnetic resonance (SSNMR) studies to determine atomic resolution structure. Amplified LBD Asyn fibrils comprise two protofilaments with pseudo-21 helical screw symmetry, very low twist and an interface formed by antiparallel beta strands of residues 85-93. The fold is highly similar to the fold determined by a recent cryo-electron microscopy study for a minority population of twisted single protofilament fibrils extracted from LBD tissue. These results expand the structural landscape of LBD Asyn fibrils and inform further studies of disease mechanisms, imaging agents and therapeutics targeting Asyn.
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Affiliation(s)
- Dhruva D. Dhavale
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Alexander M. Barclay
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Collin G. Borcik
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Katherine Basore
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Isabelle R. Gordon
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jialu Liu
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Moses H. Milchberg
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jennifer O’shea
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Michael J. Rau
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Zachary Smith
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Soumyo Sen
- Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Brock Summers
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John Smith
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, IL 61801, USA
| | - Owen A. Warmuth
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Qian Chen
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, IL 61801, USA
| | - James A. J. Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Charles D. Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emad Tajkhorshid
- Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Chad M. Rienstra
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Morgridge Institute for Research, University of Wisconsin-Madison, Madison, WI 53706 USA
- National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Paul T. Kotzbauer
- Department of Neurology and Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO 63110, USA
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11
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Okuno Y, Schwieters CD, Yang Z, Clore GM. Theory and Applications of Nitroxide-based Paramagnetic Cosolutes for Probing Intermolecular and Electrostatic Interactions on Protein Surfaces. J Am Chem Soc 2022; 144:21371-21388. [DOI: 10.1021/jacs.2c10035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Yusuke Okuno
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - Charles D. Schwieters
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - Zhilin Yang
- Laboratory of Cell Biology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - G. Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
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12
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Feng H, Zhou BR, Schwieters CD, Bai Y. Structural Mechanism of TAF-Iβ Chaperone Function on Linker Histone H1.10. J Mol Biol 2022; 434:167755. [PMID: 35870650 PMCID: PMC9489631 DOI: 10.1016/j.jmb.2022.167755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 11/21/2022]
Abstract
Linker histone H1, facilitated by its chaperones, plays an essential role in regulating gene expression by maintaining chromatin's higher-order structure and epigenetic state. However, we know little about the structural mechanism of how the chaperones recognize linker histones and conduct their function. Here, we used biophysical and biochemical methods to investigate the recognition of human linker histone isoform H1.10 by the TAF-Iβ chaperone. Both H1.10 and TAF-Iβ proteins consist of folded cores and disordered tails. We found that H1.10 formed a complex with TAF-Iβ in a 2:2 stoichiometry. Using distance restraints obtained from methyl-TROSY NMR and spin labels, we built a structural model for the core region of the complex. In the model, the TAF-Iβ core interacts with the globular domain of H1.10 mainly through electrostatic interactions. We confirmed the interactions by measuring the effects of mutations on the binding affinity. A comparison of our structural model with the chromatosome structure shows that TAF-Iβ blocks the DNA binding sites of H1.10. Our study provides insights into the structural mechanism whereby TAF-Iβ functions as a chaperone by preventing H1.10 from interacting with DNA directly.
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Affiliation(s)
- Haniqao Feng
- Laboratory of Biochemistry and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Bing-Rui Zhou
- Laboratory of Biochemistry and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles D Schwieters
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yawen Bai
- Laboratory of Biochemistry and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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13
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Nyenhuis DA, Schwieters CD, Tjandra N. Incorporation of residual chemical shift anisotropy into the treatment of 15N pseudocontact shifts for structural refinement. J Magn Reson 2022; 340:107213. [PMID: 35643046 PMCID: PMC9233152 DOI: 10.1016/j.jmr.2022.107213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/11/2022] [Accepted: 03/29/2022] [Indexed: 06/15/2023]
Abstract
Paramagnetic NMR experiments, including the pseudocontact shift experiment, have seen increasing use due to recently developed probes and labeling strategies. The pseudocontact shift experiment can provide valuable intra- or inter-molecular distance and orientation information. However, the use of 1H/13C or 1H/15N PCS data in structure calculations is currently complicated by the contribution of residual chemical shift anisotropy to the 13C or 15N datasets. Here, we present a corrected PCS energy term for the software package Xplor-NIH with the appropriate residual chemical shift anisotropy correction and show its suitability for model refinements of ubiquitin labeled at residue 57 with a Tm-M8-SPy tag. For data taken at 800 MHz, the improvement with the corrected energy term is sufficient to make the quality of the fit for the 15N dataset comparable to that of the 1H dataset, for which no correction is needed. The corrected energy term is expected to become more relevant with increased use of higher field instruments and as new paramagnetic probes with larger magnetic susceptibility tensors continue to be developed.
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Affiliation(s)
- David A Nyenhuis
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles D Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nico Tjandra
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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14
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Schmidt T, Wang D, Jeon J, Schwieters CD, Clore GM. Quantitative Agreement between Conformational Substates of Holo Calcium-Loaded Calmodulin Detected by Double Electron-Electron Resonance EPR and Predicted by Molecular Dynamics Simulations. J Am Chem Soc 2022; 144:12043-12051. [PMID: 35759799 DOI: 10.1021/jacs.2c02201] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Calcium-loaded calmodulin (CaM/4Ca2+) comprises two domains that undergo rigid body reorientation from a predominantly extended conformation to a compact one upon binding target peptides. A recent replica-exchange molecular dynamics (MD) simulation on holo CaM/4Ca2+ suggested the existence of distinct structural clusters (substates) along the path from extended to compact conformers in the absence of substrates. Here, we experimentally demonstrate the existence of CaM/4Ca2+ substates trapped in local minima by three freezing/annealing regimes (slow, 40 s; intermediate, 1.5 s; fast, 0.5 ms) using pulsed Q-band double electron-electron resonance (DEER) EPR spectroscopy to measure interdomain distances between nitroxide spin-labels positioned at A17C and A128C in the N- and C-terminal domains, respectively. The DEER echo curves were directly fit to population-optimized P(r) pairwise distance distributions calculated from the coordinates of the MD clusters and compact crystal structure. DEER data on fully deuterated CaM/4Ca2+ were acquired at multiple values of the second echo period (10-35 μs) and analyzed globally to eliminate instrumental and overfitting artifacts and ensure accurate populations, peak positions, and widths. The DEER data for all three freezing regimes are quantitatively accounted for within experimental error by 5-6 distinct conformers comprising a predominantly populated extended form (60-75%) and progressively more compact states whose populations decrease as the degree of compactness increases. The shortest interdomain separation is found in the compact crystal structure, which has an occupancy of 4-6%. Thus, CaM/4Ca2+ samples high energy local minima comprising a few discrete substates of increasing compactness in a rugged energy landscape.
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Affiliation(s)
- Thomas Schmidt
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - David Wang
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - Jaekyun Jeon
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - Charles D Schwieters
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
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15
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Lu M, Toptygin D, Xiang Y, Shi Y, Schwieters CD, Lipinski EC, Ahn J, Byeon IJL, Gronenborn AM. The Magic of Linking Rings: Discovery of a Unique Photoinduced Fluorescent Protein Crosslink. J Am Chem Soc 2022; 144:10809-10816. [PMID: 35574633 PMCID: PMC9233106 DOI: 10.1021/jacs.2c02054] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
![]()
Fluorosubstituted tryptophans serve
as valuable probes for fluorescence
and nuclear magnetic resonance (NMR) studies of proteins. Here, we
describe an unusual photoreactivity introduced by replacing the single
tryptophan in cyclophilin A with 7-fluoro-tryptophan. UV exposure
at 282 nm defluorinates 7-fluoro-tryptophan and crosslinks it to a
nearby phenylalanine, generating a bright fluorophore. The crosslink-containing
fluorescent protein possesses a large quantum yield of ∼0.40
with a fluorescence lifetime of 2.38 ns. The chemical nature of the
crosslink and the three-dimensional protein structure were determined
by mass spectrometry and NMR spectroscopy. To the best of our knowledge,
this is the first report of a Phe–Trp crosslink in a protein.
Our finding may break new ground for developing novel fluorescence
probes and for devising new strategies to exploit aromatic crosslinks
in proteins.
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Affiliation(s)
- Manman Lu
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
- Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
| | - Dmitri Toptygin
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Yufei Xiang
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States
| | - Yi Shi
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States
| | - Charles D. Schwieters
- Computational Biomolecular Magnetic Resonance Core, Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, United States
| | - Emma C. Lipinski
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
| | - Jinwoo Ahn
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
- Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
| | - In-Ja L. Byeon
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
- Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
| | - Angela M. Gronenborn
- Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
- Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, United States
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16
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Wälti MA, Canagarajah B, Schwieters CD, Clore GM. Visualization of Sparsely-populated Lower-order Oligomeric States of Human Mitochondrial Hsp60 by Cryo-electron Microscopy. J Mol Biol 2021; 433:167322. [PMID: 34688687 PMCID: PMC8627483 DOI: 10.1016/j.jmb.2021.167322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 11/19/2022]
Abstract
Human mitochondrial Hsp60 (mtHsp60) is a class I chaperonin, 51% identical in sequence to the prototypical E. coli chaperonin GroEL. mtHsp60 maintains the proteome within the mitochondrion and is associated with various neurodegenerative diseases and cancers. The oligomeric assembly of mtHsp60 into heptameric ring structures that enclose a folding chamber only occurs upon addition of ATP and is significantly more labile than that of GroEL, where the only oligomeric species is a tetradecamer. The lability of the mtHsp60 heptamer provides an opportunity to detect and visualize lower-order oligomeric states that may represent intermediates along the assembly/disassembly pathway. Using cryo-electron microscopy we show that, in addition to the fully-formed heptamer and an "inverted" tetradecamer in which the two heptamers associate via their apical domains, thereby blocking protein substrate access, well-defined lower-order oligomeric species, populated at less than 6% of the total particles, are observed. Specifically, we observe open trimers, tetramers, pentamers and hexamers (comprising ∼4% of the total particles) with rigid body rotations from one subunit to the next within ∼1.5-3.5° of that for the heptamer, indicating that these may lie directly on the assembly/disassembly pathway. We also observe a closed-ring hexamer (∼2% of the particles) which may represent an off-pathway species in the assembly/disassembly process in so far that conversion to the mature heptamer would require the closed-ring hexamer to open to accept an additional subunit. Lastly, we observe several classes of tetramers where additional subunits characterized by fuzzy electron density are caught in the act of oligomer extension.
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Affiliation(s)
- Marielle A Wälti
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA
| | - Bertram Canagarajah
- Laboratory of Cell and Molecular Biology, and National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA
| | - Charles D Schwieters
- Computational Biomolecular Nuclear Magnetic Resonance Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA.
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17
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Amani R, Schwieters CD, Borcik CG, Eason IR, Han R, Harding BD, Wylie BJ. Water Accessibility Refinement of the Extended Structure of KirBac1.1 in the Closed State. Front Mol Biosci 2021; 8:772855. [PMID: 34917650 PMCID: PMC8669819 DOI: 10.3389/fmolb.2021.772855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022] Open
Abstract
NMR structures of membrane proteins are often hampered by poor chemical shift dispersion and internal dynamics which limit resolved distance restraints. However, the ordering and topology of these systems can be defined with site-specific water or lipid proximity. Membrane protein water accessibility surface area is often investigated as a topological function via solid-state NMR. Here we leverage water-edited solid-state NMR measurements in simulated annealing calculations to refine a membrane protein structure. This is demonstrated on the inward rectifier K+ channel KirBac1.1 found in Burkholderia pseudomallei. KirBac1.1 is homologous to human Kir channels, sharing a nearly identical fold. Like many existing Kir channel crystal structures, the 1p7b crystal structure is incomplete, missing 85 out of 333 residues, including the N-terminus and C-terminus. We measure solid-state NMR water proximity information and use this for refinement of KirBac1.1 using the Xplor-NIH structure determination program. Along with predicted dihedral angles and sparse intra- and inter-subunit distances, we refined the residues 1-300 to atomic resolution. All structural quality metrics indicate these restraints are a powerful way forward to solve high quality structures of membrane proteins using NMR.
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Affiliation(s)
- Reza Amani
- Texas Tech University, Department of Chemistry and Biochemistry, Lubbock, TX, United States
| | - Charles D. Schwieters
- Computational Biomolecular Magnetic Resonance Core, National Institutes of Digestive Diseases and Kidneys, NIH, Bethesda, MD, United States
| | - Collin G. Borcik
- Texas Tech University, Department of Chemistry and Biochemistry, Lubbock, TX, United States
| | - Isaac R. Eason
- Texas Tech University, Department of Chemistry and Biochemistry, Lubbock, TX, United States
| | - Ruixian Han
- University of Wisconsin-Madison, Department of Biochemistry and Chemistry, Madison, WI, United States
| | - Benjamin D. Harding
- University of Wisconsin-Madison, Department of Biochemistry and Chemistry, Madison, WI, United States
- Biophysics Program, University of Wisconsin at Madison, Madison, WI, United States
| | - Benjamin J. Wylie
- Texas Tech University, Department of Chemistry and Biochemistry, Lubbock, TX, United States
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18
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Wu XL, Hu H, Dong XQ, Zhang J, Wang J, Schwieters CD, Liu J, Wu GX, Li B, Lin JY, Wang HY, Lu JX. The amyloid structure of mouse RIPK3 (receptor interacting protein kinase 3) in cell necroptosis. Nat Commun 2021; 12:1627. [PMID: 33712586 PMCID: PMC7955032 DOI: 10.1038/s41467-021-21881-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 02/15/2021] [Indexed: 12/24/2022] Open
Abstract
RIPK3 amyloid complex plays crucial roles during TNF-induced necroptosis and in response to immune defense in both human and mouse. Here, we have structurally characterized mouse RIPK3 homogeneous self-assembly using solid-state NMR, revealing a well-ordered N-shaped amyloid core structure featured with 3 parallel in-register β-sheets. This structure differs from previously published human RIPK1/RIPK3 hetero-amyloid complex structure, which adopted a serpentine fold. Functional studies indicate both RIPK1-RIPK3 binding and RIPK3 amyloid formation are essential but not sufficient for TNF-induced necroptosis. The structural integrity of RIPK3 fibril with three β-strands is necessary for signaling. Molecular dynamics simulations with a mouse RIPK1/RIPK3 model indicate that the hetero-amyloid is less stable when adopting the RIPK3 fibril conformation, suggesting a structural transformation of RIPK3 from RIPK1-RIPK3 binding to RIPK3 amyloid formation. This structural transformation would provide the missing link connecting RIPK1-RIPK3 binding to RIPK3 homo-oligomer formation in the signal transduction. Receptor Interacting Protein Kinase 3 (RIPK3) has a key role in TNF-induced necroptosis. Here, the authors combine solid state NMR measurements, MD simulations and cell based assays to characterize mouse RIPK3 and they present the structure of the RIPK3 amyloid core.
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Affiliation(s)
- Xia-Lian Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Hong Hu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Xing-Qi Dong
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Jing Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Jian Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China
| | - Charles D Schwieters
- Laboratory of Imaging Sciences, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Jing Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Guo-Xiang Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Bing Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China
| | - Jing-Yu Lin
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, PR China.,University of Chinese Academy of Sciences, Beijing, PR China
| | - Hua-Yi Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.
| | - Jun-Xia Lu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, PR China.
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19
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Elias RD, Ma W, Ghirlando R, Schwieters CD, Reddy VS, Deshmukh L. Proline-rich domain of human ALIX contains multiple TSG101-UEV interaction sites and forms phosphorylation-mediated reversible amyloids. Proc Natl Acad Sci U S A 2020; 117:24274-24284. [PMID: 32917811 PMCID: PMC7533887 DOI: 10.1073/pnas.2010635117] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Proline-rich domains (PRDs) are among the most prevalent signaling modules of eukaryotes but often unexplored by biophysical techniques as their heterologous recombinant expression poses significant difficulties. Using a "divide-and-conquer" approach, we present a detailed investigation of a PRD (166 residues; ∼30% prolines) belonging to a human protein ALIX, a versatile adaptor protein involved in essential cellular processes including ESCRT-mediated membrane remodeling, cell adhesion, and apoptosis. In solution, the N-terminal fragment of ALIX-PRD is dynamically disordered. It contains three tandem sequentially similar proline-rich motifs that compete for a single binding site on its signaling partner, TSG101-UEV, as evidenced by heteronuclear NMR spectroscopy. Global fitting of relaxation dispersion data, measured as a function of TSG101-UEV concentration, allowed precise quantitation of these interactions. In contrast to the soluble N-terminal portion, the C-terminal tyrosine-rich fragment of ALIX-PRD forms amyloid fibrils and viscous gels validated using dye-binding assays with amyloid-specific probes, congo red and thioflavin T (ThT), and visualized by transmission electron microscopy. Remarkably, fibrils dissolve at low temperatures (2 to 6 °C) or upon hyperphosphorylation with Src kinase. Aggregation kinetics monitored by ThT fluorescence shows that charge repulsion dictates phosphorylation-mediated fibril dissolution and that the hydrophobic effect drives fibril formation. These data illuminate the mechanistic interplay between interactions of ALIX-PRD with TSG101-UEV and polymerization of ALIX-PRD and its central role in regulating ALIX function. This study also demonstrates the broad functional repertoires of PRDs and uncovers the impact of posttranslational modifications in the modulation of reversible amyloids.
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Affiliation(s)
- Ruben D Elias
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093
| | - Wen Ma
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093
| | - Rodolfo Ghirlando
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Charles D Schwieters
- Division of Computational Biosciences, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892
| | - Vijay S Reddy
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037
| | - Lalit Deshmukh
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093;
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20
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Lu M, Russell RW, Bryer AJ, Quinn CM, Hou G, Zhang H, Schwieters CD, Perilla JR, Gronenborn AM, Polenova T. Atomic-resolution structure of HIV-1 capsid tubes by magic-angle spinning NMR. Nat Struct Mol Biol 2020; 27:863-869. [PMID: 32901160 PMCID: PMC7490828 DOI: 10.1038/s41594-020-0489-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/30/2020] [Indexed: 11/16/2022]
Abstract
HIV-1 capsid plays multiple key roles in viral replication, and inhibition of capsid assembly is an attractive target for therapeutic intervention. Here, we report the atomic-resolution structure of the capsid protein (CA) tubes, determined by magic-angle-spinning NMR and data-guided molecular dynamics simulations. Functionally important regions, including the NTD β-hairpin, the cyclophilin A loop, residues in the hexamer center pore, and the NTD-CTD linker region, are well defined. The structure of individual CA chains, their arrangement in the pseudo-hexameric units of the tube and the inter-hexamer interfaces are consistent with those in intact capsid cores and substantially different from the organization in crystal structures, which featured flat hexamers. The inherent curvature in the CA tubes is controlled by conformational variability of residues in the linker region and of dimer and trimer interfaces. The present structure reveals atomic-level detail into capsid architecture and provides important guidance for the design of novel capsid inhibitors.
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Affiliation(s)
- Manman Lu
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA.,Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ryan W Russell
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA.,Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alexander J Bryer
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA.,Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Caitlin M Quinn
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA
| | - Guangjin Hou
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA.,State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, The Chinese Academy of Sciences, Dalian, P. R. China
| | - Huilan Zhang
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA
| | - Charles D Schwieters
- Imaging Sciences Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Juan R Perilla
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA. .,Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Angela M Gronenborn
- Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. .,Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Tatyana Polenova
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, USA. .,Pittsburgh Center for HIV Protein Interactions, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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21
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Li Y, Sheftic SR, Grigoriu S, Schwieters CD, Page R, Peti W. The structure of the RCAN1:CN complex explains the inhibition of and substrate recruitment by calcineurin. Sci Adv 2020; 6:6/27/eaba3681. [PMID: 32936779 PMCID: PMC7458460 DOI: 10.1126/sciadv.aba3681] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 05/19/2020] [Indexed: 05/04/2023]
Abstract
Regulator of calcineurin 1 (RCAN1) is an endogenous inhibitor of the Ser/Thr phosphatase calcineurin (CN). It has been shown that excessive inhibition of CN is a critical factor for Down syndrome and Alzheimer's disease. Here, we determined RCAN1's mode of action. Using a combination of structural, biophysical, and biochemical studies, we show that RCAN1 inhibits CN via multiple routes: first, by blocking essential substrate recruitment sites and, second, by blocking the CN active site using two distinct mechanisms. We also show that phosphorylation either inhibits RCAN1-CN assembly or converts RCAN1 into a weak inhibitor, which can be reversed by CN via dephosphorylation. This highlights the interplay between posttranslational modifications in regulating CN activity. Last, this work advances our understanding of how active site inhibition of CN can be achieved in a highly specific manner. Together, these data provide the necessary road map for targeting multiple neurological disorders.
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Affiliation(s)
- Yang Li
- Department of Chemistry and Biochemistry, University of Arizona, 1041 E. Lowell St., Tucson, AZ 85721, USA
| | - Sarah R Sheftic
- Department of Chemistry and Biochemistry, University of Arizona, 1041 E. Lowell St., Tucson, AZ 85721, USA
| | - Simina Grigoriu
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, 185 Meeting St., Providence, RI 02912, USA
| | - Charles D Schwieters
- Imaging Sciences Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rebecca Page
- Department of Chemistry and Biochemistry, University of Arizona, 1041 E. Lowell St., Tucson, AZ 85721, USA
| | - Wolfgang Peti
- Department of Chemistry and Biochemistry, University of Arizona, 1041 E. Lowell St., Tucson, AZ 85721, USA.
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22
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Schwieters CD, Bermejo GA, Clore GM. A three-dimensional potential of mean force to improve backbone and sidechain hydrogen bond geometry in Xplor-NIH protein structure determination. Protein Sci 2019; 29:100-110. [PMID: 31613020 DOI: 10.1002/pro.3745] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 10/03/2019] [Accepted: 10/07/2019] [Indexed: 11/11/2022]
Abstract
We introduce a new hydrogen bonding potential of mean force generated from high-quality crystal structures for use in Xplor-NIH structure calculations. This term applies to hydrogen bonds involving both backbone and sidechain atoms. When used in structure refinement calculations of 10 example protein systems with experimental distance, dihedral and residual dipolar coupling restraints, we demonstrate that the new term has superior performance to the previously developed hydrogen bonding potential of mean force used in Xplor-NIH.
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Affiliation(s)
- Charles D Schwieters
- Center for Information Technology, National Institutes of Health, Bethesda, Maryland
| | - Guillermo A Bermejo
- Center for Information Technology, National Institutes of Health, Bethesda, Maryland
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
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23
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Gauto DF, Estrozi LF, Schwieters CD, Effantin G, Macek P, Sounier R, Sivertsen AC, Schmidt E, Kerfah R, Mas G, Colletier JP, Güntert P, Favier A, Schoehn G, Schanda P, Boisbouvier J. Integrated NMR and cryo-EM atomic-resolution structure determination of a half-megadalton enzyme complex. Nat Commun 2019; 10:2697. [PMID: 31217444 PMCID: PMC6584647 DOI: 10.1038/s41467-019-10490-9] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 05/10/2019] [Indexed: 12/14/2022] Open
Abstract
Atomic-resolution structure determination is crucial for understanding protein function. Cryo-EM and NMR spectroscopy both provide structural information, but currently cryo-EM does not routinely give access to atomic-level structural data, and, generally, NMR structure determination is restricted to small (<30 kDa) proteins. We introduce an integrated structure determination approach that simultaneously uses NMR and EM data to overcome the limits of each of these methods. The approach enables structure determination of the 468 kDa large dodecameric aminopeptidase TET2 to a precision and accuracy below 1 Å by combining secondary-structure information obtained from near-complete magic-angle-spinning NMR assignments of the 39 kDa-large subunits, distance restraints from backbone amides and ILV methyl groups, and a 4.1 Å resolution EM map. The resulting structure exceeds current standards of NMR and EM structure determination in terms of molecular weight and precision. Importantly, the approach is successful even in cases where only medium-resolution cryo-EM data are available. NMR structure determination is challenging for proteins with a molecular weight above 30 kDa and atomic-resolution structure determination from cryo-EM data is currently not the rule. Here the authors describe an integrated structure determination approach that simultaneously uses NMR and EM data and allows them to determine the structure of the 468 kDa dodecameric aminopeptidase TET2 complex.
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Affiliation(s)
- Diego F Gauto
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
| | - Leandro F Estrozi
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.
| | - Charles D Schwieters
- Laboratory of Imaging Sciences, Center for Information Technology, National Institutes of Health, 12 South Drive, MSC 5624, Bethesda, MD, 20892, USA
| | - Gregory Effantin
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
| | - Pavel Macek
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.,NMR-Bio, 5 Place Robert Schuman, F-38025, Grenoble, France
| | - Remy Sounier
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.,Institut de Génomique Fonctionnelle, CNRS UMR-5203, INSERM U1191, University of Montpellier, F-34000, Montpellier, France
| | - Astrid C Sivertsen
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
| | - Elena Schmidt
- Institute of Biophysical Chemistry, Goethe University Frankfurt am Main, 60438 Frankfurt am Main, Germany
| | - Rime Kerfah
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.,NMR-Bio, 5 Place Robert Schuman, F-38025, Grenoble, France
| | - Guillaume Mas
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.,Biozentrum University of Basel, Klingelbergstrasse 70, 4056, Basel, Switzerland
| | - Jacques-Philippe Colletier
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
| | - Peter Güntert
- Institute of Biophysical Chemistry, Goethe University Frankfurt am Main, 60438 Frankfurt am Main, Germany.,Laboratory of Physical Chemistry, ETH Zürich, 8093 Zürich, Switzerland.,Graduate School of Science, Tokyo Metropolitan University, Tokyo 192-0397, Japan
| | - Adrien Favier
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.
| | - Guy Schoehn
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
| | - Paul Schanda
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France.
| | - Jerome Boisbouvier
- Institut de Biologie Structurale (IBS), CEA, CNRS, Université Grenoble Alpes, 71, Avenue des Martyrs, F-38044, Grenoble, France
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24
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Strickland M, Kale S, Strub MP, Schwieters CD, Liu J, Peterkofsky A, Tjandra N. Potential Regulatory Role of Competitive Encounter Complexes in Paralogous Phosphotransferase Systems. J Mol Biol 2019; 431:2331-2342. [PMID: 31071328 DOI: 10.1016/j.jmb.2019.04.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 04/22/2019] [Accepted: 04/28/2019] [Indexed: 11/28/2022]
Abstract
There are two paralogous Escherichia coli phosphotransferase systems, one for sugar import (PTSsugar) and one for nitrogen regulation (PTSNtr), that utilize proteins enzyme Isugar (EIsugar) and HPr, and enzyme INtr (EINtr) and NPr, respectively. The enzyme I proteins have similar folds, as do their substrates HPr and NPr, yet they show strict specificity for their cognate partner both in stereospecific protein-protein complex formation and in reversible phosphotransfer. Here, we investigate the mechanism of specific EINtr:NPr complex formation by the study of transient encounter complexes. NMR paramagnetic relaxation enhancement experiments demonstrated transient encounter complexes of EINtr not only with the expected partner, NPr, but also with the unexpected partner, HPr. HPr occupies transient sites on EINtr but is unable to complete stereospecific complex formation. By occupying the non-productive transient sites, HPr promotes NPr transient interaction to productive sites closer to the stereospecific binding site and actually enhances specific complex formation between NPr and EINtr. The cellular level of HPr is approximately 150 times higher than that of NPr. Thus, our finding suggests a potential mechanism for cross-regulation of enzyme activity through formation of competitive encounter complexes.
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Affiliation(s)
- Madeleine Strickland
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Seyit Kale
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Marie-Paule Strub
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jian Liu
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alan Peterkofsky
- Cell Biology and Physiology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Nico Tjandra
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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25
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Theint T, Xia Y, Nadaud PS, Mukhopadhyay D, Schwieters CD, Surewicz K, Surewicz WK, Jaroniec CP. Structural Studies of Amyloid Fibrils by Paramagnetic Solid-State Nuclear Magnetic Resonance Spectroscopy. J Am Chem Soc 2018; 140:13161-13166. [PMID: 30295029 DOI: 10.1021/jacs.8b06758] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Application of paramagnetic solid-state NMR to amyloids is demonstrated, using Y145Stop human prion protein modified with nitroxide spin-label or EDTA-Cu2+ tags as a model. By using sample preparation protocols based on seeding with preformed fibrils, we show that paramagnetic protein analogs can be induced into adopting the wild-type amyloid structure. Measurements of residue-specific intramolecular and intermolecular paramagnetic relaxation enhancements enable determination of protein fold within the fibril core and protofilament assembly. These methods are expected to be widely applicable to other amyloids and protein assemblies.
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Affiliation(s)
- Theint Theint
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Yongjie Xia
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Philippe S Nadaud
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Dwaipayan Mukhopadhyay
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Charles D Schwieters
- Center for Information Technology , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Krystyna Surewicz
- Department of Physiology and Biophysics , Case Western Reserve University , Cleveland , Ohio 44106 , United States
| | - Witold K Surewicz
- Department of Physiology and Biophysics , Case Western Reserve University , Cleveland , Ohio 44106 , United States
| | - Christopher P Jaroniec
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
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26
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Kooshapur H, Schwieters CD, Tjandra N. Conformational Ensemble of Disordered Proteins Probed by Solvent Paramagnetic Relaxation Enhancement (sPRE). Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201807365] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Hamed Kooshapur
- Laboratory of Structural Biophysics, National Heart, Lung and Blood Institute; National Institutes of Health; Bethesda MD 20892 USA
| | - Charles D. Schwieters
- Office of Intramural Research; Center for Information Technology; National Institutes of Health; Bethesda MD 20892 USA
| | - Nico Tjandra
- Laboratory of Structural Biophysics, National Heart, Lung and Blood Institute; National Institutes of Health; Bethesda MD 20892 USA
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27
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Kooshapur H, Schwieters CD, Tjandra N. Conformational Ensemble of Disordered Proteins Probed by Solvent Paramagnetic Relaxation Enhancement (sPRE). Angew Chem Int Ed Engl 2018; 57:13519-13522. [PMID: 30125451 DOI: 10.1002/anie.201807365] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 07/27/2018] [Indexed: 01/05/2023]
Abstract
Characterization of the conformational ensemble of disordered proteins is highly important for understanding protein folding and aggregation mechanisms, but remains a computational and experimental challenge owing to the dynamic nature of these proteins. New observables that can provide unique insights into transient residual structures in disordered proteins are needed. Here using denatured ubiquitin as a model system, NMR solvent paramagnetic relaxation enhancement (sPRE) measurements provide an accurate and highly sensitive probe for detecting low populations of residual structure in a disordered protein. Furthermore, a new ensemble calculation approach based on sPRE restraints in conjunction with residual dipolar couplings (RDCs) and small-angle X-ray scattering (SAXS) is used to define the conformational ensemble of disordered proteins at atomic resolution. The approach presented should be applicable to a wide range of dynamic macromolecules.
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Affiliation(s)
- Hamed Kooshapur
- Laboratory of Structural Biophysics, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Nico Tjandra
- Laboratory of Structural Biophysics, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
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28
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Ceccon A, Schmidt T, Tugarinov V, Kotler SA, Schwieters CD, Clore GM. Interaction of Huntingtin Exon-1 Peptides with Lipid-Based Micellar Nanoparticles Probed by Solution NMR and Q-Band Pulsed EPR. J Am Chem Soc 2018; 140:6199-6202. [PMID: 29727175 DOI: 10.1021/jacs.8b02619] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Lipid-based micellar nanoparticles promote aggregation of huntingtin exon-1 peptides. Here we characterize the interaction of two such peptides, httNTQ 7 and httNTQ 10 comprising the N-terminal amphiphilic domain of huntingtin followed by 7 and 10 glutamine repeats, respectively, with 8 nm lipid micelles using NMR chemical exchange saturation transfer (CEST), circular dichroism and pulsed Q-band EPR. Exchange between free and micelle-bound httNTQ n peptides occurs on the millisecond time scale with a KD ∼ 0.5-1 mM. Upon binding micelles, residues 1-15 adopt a helical conformation. Oxidation of Met7 to a sulfoxide reduces the binding affinity for micelles ∼3-4-fold and increases the length of the helix by a further two residues. A structure of the bound monomer unit is calculated from the backbone chemical shifts of the micelle-bound state obtained from CEST. Pulsed Q-band EPR shows that a monomer-dimer equilibrium exists on the surface of the micelles and that the two helices of the dimer adopt a parallel orientation, thereby bringing two disordered polyQ tails into close proximity which may promote aggregation upon dissociation from the micelle surface.
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Affiliation(s)
- Alberto Ceccon
- Laboratory of Chemical Physics , National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda , Maryland 20892-520 , United States
| | - Thomas Schmidt
- Laboratory of Chemical Physics , National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda , Maryland 20892-520 , United States
| | - Vitali Tugarinov
- Laboratory of Chemical Physics , National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda , Maryland 20892-520 , United States
| | - Samuel A Kotler
- Laboratory of Chemical Physics , National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda , Maryland 20892-520 , United States
| | - Charles D Schwieters
- Imaging Sciences Laboratory , Center for Information Technology, National Institutes of Health , Bethesda , Maryland 20892-5624 , United States
| | - G Marius Clore
- Laboratory of Chemical Physics , National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda , Maryland 20892-520 , United States
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29
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Gong Z, Schwieters CD, Tang C. Theory and practice of using solvent paramagnetic relaxation enhancement to characterize protein conformational dynamics. Methods 2018; 148:48-56. [PMID: 29656079 DOI: 10.1016/j.ymeth.2018.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 03/19/2018] [Accepted: 04/06/2018] [Indexed: 01/01/2023] Open
Abstract
Paramagnetic relaxation enhancement (PRE) has been established as a powerful tool in NMR for investigating protein structure and dynamics. The PRE is usually measured with a paramagnetic probe covalently attached at a specific site of an otherwise diamagnetic protein. The present work provides the numerical formulation for probing protein structure and conformational dynamics based on the solvent PRE (sPRE) measurement, using two alternative approaches. An inert paramagnetic cosolute randomly collides with the protein, and the resulting sPRE manifests the relative solvent exposure of protein nuclei. To make the back-calculated sPRE values most consistent with the observed values, the protein structure is either refined against the sPRE, or an ensemble of conformers is selected from a pre-generated library using a Monte Carlo algorithm. The ensemble structure comprises either N conformers of equal occupancy, or two conformers with different relative populations. We demonstrate the sPRE method using GB1, a structurally rigid protein, and calmodulin, a protein comprising two domains and existing in open and closed states. The sPRE can be computed with a stand-alone program for rapid evaluation, or with the invocation of a module in the latest release of the structure calculation software Xplor-NIH. As a label-free method, the sPRE measurement can be readily integrated with other biophysical techniques. The current limitations of the sPRE method are also discussed, regarding accurate measurement and theoretical calculation, model selection and suitable timescale.
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Affiliation(s)
- Zhou Gong
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, Hubei Province 430071, China
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Building 12A, Bethesda, MD 20892, United States
| | - Chun Tang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, Hubei Province 430071, China.
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30
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Schwieters CD, Bermejo GA, Clore GM. Xplor-NIH for molecular structure determination from NMR and other data sources. Protein Sci 2017; 27:26-40. [PMID: 28766807 DOI: 10.1002/pro.3248] [Citation(s) in RCA: 146] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 07/28/2017] [Indexed: 11/10/2022]
Abstract
Xplor-NIH is a popular software package for biomolecular structure determination from nuclear magnetic resonance (NMR) and other data sources. Here, some of Xplor-NIH's most useful data-associated energy terms are reviewed, including newer alternative options for using residual dipolar coupling data in structure calculations. Further, we discuss new developments in the implementation of strict symmetry for the calculation of symmetric homo-oligomers, and in the representation of the system as an ensemble of structures to account for motional effects. Finally, the different available force fields are presented, among other Xplor-NIH capabilities.
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Affiliation(s)
- Charles D Schwieters
- Imaging Sciences Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, 20892-5624
| | - Guillermo A Bermejo
- Imaging Sciences Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, 20892-5624
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892-0520
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31
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Bhandari YR, Fan L, Fang X, Zaki GF, Stahlberg EA, Jiang W, Schwieters CD, Stagno JR, Wang YX. Topological Structure Determination of RNA Using Small-Angle X-Ray Scattering. J Mol Biol 2017; 429:3635-3649. [PMID: 28918093 DOI: 10.1016/j.jmb.2017.09.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 09/06/2017] [Accepted: 09/07/2017] [Indexed: 10/18/2022]
Abstract
Knowledge of RNA three-dimensional topological structures provides important insight into the relationship between RNA structural components and function. It is often likely that near-complete sets of biochemical and biophysical data containing structural restraints are not available, but one still wants to obtain knowledge about approximate topological folding of RNA. In this regard, general methods for determining such topological structures with minimum readily available restraints are lacking. Naked RNAs are difficult to crystallize and NMR spectroscopy is generally limited to small RNA fragments. By nature, sequence determines structure and all interactions that drive folding are self-contained within sequence. Nevertheless, there is little apparent correlation between primary sequences and three-dimensional folding unless supplemented with experimental or phylogenetic data. Thus, there is an acute need for a robust high-throughput method that can rapidly determine topological structures of RNAs guided by some experimental data. We present here a novel method (RS3D) that can assimilate the RNA secondary structure information, small-angle X-ray scattering data, and any readily available tertiary contact information to determine the topological fold of RNA. Conformations are firstly sampled at glob level where each glob represents a nucleotide. Best-ranked glob models can be further refined against solvent accessibility data, if available, and then converted to explicit all-atom coordinates for refinement against SAXS data using the Xplor-NIH program. RS3D is widely applicable to a variety of RNA folding architectures currently present in the structure database. Furthermore, we demonstrate applicability and feasibility of the program to derive low-resolution topological structures of relatively large multi-domain RNAs.
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Affiliation(s)
- Yuba R Bhandari
- Protein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
| | - Lixin Fan
- Leidos Biomedical Research Inc., Frederick, MD 21702, United States
| | - Xianyang Fang
- Protein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States
| | - George F Zaki
- Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, United States
| | - Eric A Stahlberg
- Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, United States
| | - Wei Jiang
- Argonne National Laboratory, Argonne, IL 60439, United States
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, United States
| | - Jason R Stagno
- Protein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States
| | - Yun-Xing Wang
- Protein-Nucleic Acid Interaction Section, Structural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States; NCI Small Angle X-ray Scattering Core Facility, Structural Biophysics Laboratory, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
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32
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Cornilescu G, Ramos Alvarenga RF, Wyche TP, Bugni TS, Gil RR, Cornilescu CC, Westler WM, Markley JL, Schwieters CD. Progressive Stereo Locking (PSL): A Residual Dipolar Coupling Based Force Field Method for Determining the Relative Configuration of Natural Products and Other Small Molecules. ACS Chem Biol 2017; 12:2157-2163. [PMID: 28617580 DOI: 10.1021/acschembio.7b00281] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Establishing the relative configuration of a bioactive natural product represents the most challenging part in determining its structure. Residual dipolar couplings (RDCs) are sensitive probes of the relative spatial orientation of internuclear vectors. We adapted a force field structure calculation methodology to allow free sampling of both R and S configurations of the stereocenters of interest. The algorithm uses a floating alignment tensor in a simulated annealing protocol to identify the conformations and configurations that best fit experimental RDC and distance restraints (from NOE and J-coupling data). A unique configuration (for rigid molecules) or a very small number of configurations (for less rigid molecules) of the structural models having the lowest chiral angle energies and reasonable magnitudes of the alignment tensor are provided as the best predictions of the unknown configuration. For highly flexible molecules, the progressive locking of their stereocenters into their statistically dominant R or S state dramatically reduces the number of possible relative configurations. The result is verified by checking that the same configuration is obtained by initiating the locking from different regions of the molecule. For all molecules tested having known configurations (with conformations ranging from mostly rigid to highly flexible), the method accurately determined the correct configuration.
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Affiliation(s)
| | - René F. Ramos Alvarenga
- Pharmaceutical
Sciences Division, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - Thomas P. Wyche
- Pharmaceutical
Sciences Division, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
- Biological
Chemistry and Molecular Pharmacology Department, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Tim S. Bugni
- Pharmaceutical
Sciences Division, School of Pharmacy, University of Wisconsin—Madison, Madison, Wisconsin 53705, United States
| | - Roberto R. Gil
- Department
of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | | | | | | | - Charles D. Schwieters
- Center for
Information Technology, National Institutes of Health, Bethesda, Maryland 20892-5624, United States
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33
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Tian Y, Schwieters CD, Opella SJ, Marassi FM. High quality NMR structures: a new force field with implicit water and membrane solvation for Xplor-NIH. J Biomol NMR 2017; 67:35-49. [PMID: 28035651 PMCID: PMC5487259 DOI: 10.1007/s10858-016-0082-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 12/11/2016] [Indexed: 06/06/2023]
Abstract
Structure determination of proteins by NMR is unique in its ability to measure restraints, very accurately, in environments and under conditions that closely mimic those encountered in vivo. For example, advances in solid-state NMR methods enable structure determination of membrane proteins in detergent-free lipid bilayers, and of large soluble proteins prepared by sedimentation, while parallel advances in solution NMR methods and optimization of detergent-free lipid nanodiscs are rapidly pushing the envelope of the size limit for both soluble and membrane proteins. These experimental advantages, however, are partially squandered during structure calculation, because the commonly used force fields are purely repulsive and neglect solvation, Van der Waals forces and electrostatic energy. Here we describe a new force field, and updated energy functions, for protein structure calculations with EEFx implicit solvation, electrostatics, and Van der Waals Lennard-Jones forces, in the widely used program Xplor-NIH. The new force field is based primarily on CHARMM22, facilitating calculations with a wider range of biomolecules. The new EEFx energy function has been rewritten to enable OpenMP parallelism, and optimized to enhance computation efficiency. It implements solvation, electrostatics, and Van der Waals energy terms together, thus ensuring more consistent and efficient computation of the complete nonbonded energy lists. Updates in the related python module allow detailed analysis of the interaction energies and associated parameters. The new force field and energy function work with both soluble proteins and membrane proteins, including those with cofactors or engineered tags, and are very effective in situations where there are sparse experimental restraints. Results obtained for NMR-restrained calculations with a set of five soluble proteins and five membrane proteins show that structures calculated with EEFx have significant improvements in accuracy, precision, and conformation, and that structure refinement can be obtained by short relaxation with EEFx to obtain improvements in these key metrics. These developments broaden the range of biomolecular structures that can be calculated with high fidelity from NMR restraints.
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Affiliation(s)
- Ye Tian
- Sanford-Burnham-Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Charles D Schwieters
- Center for Information Technology, National Institutes of Health, Building 12A, Bethesda, MD, 20892-5624, USA
| | - Stanley J Opella
- Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0307, USA
| | - Francesca M Marassi
- Sanford-Burnham-Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA.
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34
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Strickland M, Stanley AM, Wang G, Botos I, Schwieters CD, Buchanan SK, Peterkofsky A, Tjandra N. Structure of the NPr:EIN Ntr Complex: Mechanism for Specificity in Paralogous Phosphotransferase Systems. Structure 2016; 24:2127-2137. [PMID: 27839951 DOI: 10.1016/j.str.2016.10.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Revised: 10/03/2016] [Accepted: 10/12/2016] [Indexed: 12/13/2022]
Abstract
Paralogous enzymes arise from gene duplication events that confer a novel function, although it is unclear how cross-reaction between the original and duplicate protein interaction network is minimized. We investigated HPr:EIsugar and NPr:EINtr, the initial complexes of paralogous phosphorylation cascades involved in sugar import and nitrogen regulation in bacteria, respectively. Although the HPr:EIsugar interaction has been well characterized, involving multiple complexes and transient interactions, the exact nature of the NPr:EINtr complex was unknown. We set out to identify the key features of the interaction by performing binding assays and elucidating the structure of NPr in complex with the phosphorylation domain of EINtr (EINNtr), using a hybrid approach involving X-ray, homology, and sparse nuclear magnetic resonance. We found that the overall fold and active-site structure of the two complexes are conserved in order to maintain productive phosphorylation, however, the interface surface potential differs between the two complexes, which prevents cross-reaction.
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Affiliation(s)
- Madeleine Strickland
- Laboratory of Molecular Biophysics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ann Marie Stanley
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Guangshun Wang
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Istvan Botos
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA
| | - Susan K Buchanan
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alan Peterkofsky
- Cell Biology and Physiology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Nico Tjandra
- Laboratory of Molecular Biophysics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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35
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Strickland M, Schwieters CD, Göbl C, Opina ACL, Strub MP, Swenson RE, Vasalatiy O, Tjandra N. Characterizing the magnetic susceptibility tensor of lanthanide-containing polymethylated-DOTA complexes. J Biomol NMR 2016; 66:125-139. [PMID: 27659040 PMCID: PMC6628275 DOI: 10.1007/s10858-016-0061-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 09/13/2016] [Indexed: 05/16/2023]
Abstract
Lanthanide complexes based on the DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid) cage are commonly used as phase contrast agents in magnetic resonance imaging, but can also be utilized in structural NMR applications due to their ability to induce either paramagnetic relaxation enhancement or a pseudocontact shift (PCS) depending on the choice of the lanthanide. The size and sign of the PCS for any given atom is determined by its coordinates relative to the metal center, and the characteristics of the lanthanide's magnetic susceptibility tensor. Using a polymethylated DOTA tag (Ln-M8-SPy) conjugated to ubiquitin, we calculated the position of the metal center and characterized the susceptibility tensor for a number of lanthanides (dysprosium, thulium, and ytterbium) under a range of pH and temperature conditions. We found that there was a difference in temperature sensitivity for each of the complexes studied, which depended on the size of the lanthanide ion as well as the isomeric state of the cage. Using 17O-NMR, we confirmed that the temperature sensitivity of the compounds was enhanced by the presence of an apically bound water molecule. Since amide-containing lanthanide complexes are known to be pH sensitive and can be used as probes of physiological pH, we also investigated the effect of pH on the Ln-M8-SPy susceptibility tensor, but we found that the changes in this pH range (5.0-7.4) were not significant.
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Affiliation(s)
- Madeleine Strickland
- Laboratory of Molecular Biophysics, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Charles D Schwieters
- Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Christoph Göbl
- Department of Chemistry, Technische Universität München, Lichtenbergstraße 4, 85748, Garching, Germany
| | - Ana C L Opina
- Imaging Probe Development Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, MD, 20850, USA
| | - Marie-Paule Strub
- Laboratory of Molecular Biophysics, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rolf E Swenson
- Imaging Probe Development Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, MD, 20850, USA
| | - Olga Vasalatiy
- Imaging Probe Development Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, MD, 20850, USA
| | - Nico Tjandra
- Laboratory of Molecular Biophysics, Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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36
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Abstract
The synchronization of native state motions as they transition between microstates influences catalysis kinetics, mediates allosteric interactions, and reduces the conformational entropy of proteins. However, it has proven difficult to describe native microstates because they are usually minimally frustrated and may interconvert on the micro- to millisecond time scale. Direct observation of concerted equilibrium fluctuations would therefore be an important tool for describing protein native states. Here we propose a strategy that relates NMR cross-correlated relaxation (CCR) rates between dipolar interactions to residual dipolar couplings (RDCs) of individual consecutive H(N)-N and H(α)-C(α) bonds, which act as a proxy for the peptide planes and the side chains, respectively. Using Xplor-NIH ensemble structure calculations restrained with the RDC and CCR data, we observe collective motions on time scales slower than nanoseconds in the backbone for GB3. To directly access the correlations from CCR, we develop a structure-free data analysis. The resulting dynamic correlation map is consistent with the ensemble-restrained simulations and reveals a complex network. In general, we find that the bond motions are on average slightly correlated and that the local environment dominates many observations. Despite this, some patterns are typical over entire secondary structure elements. In the β-sheet, nearly all bonds are weakly correlated, and there is an approximately binary alternation in correlation intensity corresponding to the solvent exposure/shielding alternation of the side chains. For α-helices, there is also a weak correlation in the H(N)-N bonds. The degree of correlation involving H(α)-C(α) bonds is directly affected by side-chain fluctuations, whereas loops show complex and nonuniform behavior.
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Affiliation(s)
- R. Bryn Fenwick
- Institute for Research in Biomedicine (IRB Barcelona), Parc Científic de Barcelona, C/Baldiri Reixac 10, 08028 Barcelona, Spain
- The Scripps Research Institute (TSRI), 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Charles D. Schwieters
- Division of Computational Bioscience, Building 12A Center for Information Technology, National Institutes of Health, Bethesda, MD 20892-5624, USA
| | - Beat Vögeli
- Laboratory of Physical Chemistry, Vladimir-Prelog-Weg 2, Swiss Federal Institute of Technology, ETH-Hönggerberg, CH-8093 Zürich, Switzerland
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37
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Deshmukh L, Schwieters CD, Grishaev A, Clore GM. Inside Back Cover: Quantitative Characterization of Configurational Space Sampled by HIV-1 Nucleocapsid Using Solution NMR, X-ray Scattering and Protein Engineering (ChemPhysChem 11/2016). Chemphyschem 2016. [DOI: 10.1002/cphc.201600447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Lalit Deshmukh
- Laboratory of Chemical Physics; National Institute of Diabetes and Digestive and Kidney Diseases; Bethesda MD 20892-0520 USA
| | - Charles D. Schwieters
- Imaging Sciences Laboratory; Center for Information and Technology; Bethesda MD 20892-5624 USA
| | - Alexander Grishaev
- Institute of Bioscience and Biotechnology Research; University of Maryland; Rockville MD 20850 USA
| | - G. Marius Clore
- Laboratory of Chemical Physics; National Institute of Diabetes and Digestive and Kidney Diseases; Bethesda MD 20892-0520 USA
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38
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Tian Y, Schwieters CD, Opella SJ, Marassi FM. A Practical Implicit Membrane Potential for NMR Structure Calculations of Membrane Proteins. Biophys J 2016; 109:574-85. [PMID: 26244739 DOI: 10.1016/j.bpj.2015.06.047] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 06/18/2015] [Accepted: 06/23/2015] [Indexed: 01/22/2023] Open
Abstract
The highly anisotropic environment of the lipid bilayer membrane imposes significant constraints on the structures and functions of membrane proteins. However, NMR structure calculations typically use a simple repulsive potential that neglects the effects of solvation and electrostatics, because explicit atomic representation of the solvent and lipid molecules is computationally expensive and impractical for routine NMR-restrained calculations that start from completely extended polypeptide templates. Here, we describe the extension of a previously described implicit solvation potential, eefxPot, to include a membrane model for NMR-restrained calculations of membrane protein structures in XPLOR-NIH. The key components of eefxPot are an energy term for solvation free energy that works together with other nonbonded energy functions, a dedicated force field for conformational and nonbonded protein interaction parameters, and a membrane function that modulates the solvation free energy and dielectric screening as a function of the atomic distance from the membrane center, relative to the membrane thickness. Initial results obtained for membrane proteins with structures determined experimentally in lipid bilayer membranes show that eefxPot affords significant improvements in structural quality, accuracy, and precision. Calculations with eefxPot are straightforward to implement and can be used to both fold and refine structures, as well as to run unrestrained molecular-dynamics simulations. The potential is entirely compatible with the full range of experimental restraints measured by various techniques. Overall, it provides a useful and practical way to calculate membrane protein structures in a physically realistic environment.
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Affiliation(s)
- Ye Tian
- Sanford-Burnham Medical Research Institute, La Jolla, California; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland
| | - Stanley J Opella
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California
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39
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Tuttle MD, Comellas G, Nieuwkoop AJ, Covell DJ, Berthold DA, Kloepper KD, Courtney JM, Kim JK, Barclay AM, Kendall A, Wan W, Stubbs G, Schwieters CD, Lee VMY, George JM, Rienstra CM. Solid-state NMR structure of a pathogenic fibril of full-length human α-synuclein. Nat Struct Mol Biol 2016; 23:409-15. [PMID: 27018801 PMCID: PMC5034296 DOI: 10.1038/nsmb.3194] [Citation(s) in RCA: 673] [Impact Index Per Article: 84.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 02/25/2016] [Indexed: 12/17/2022]
Abstract
Misfolded α-synuclein amyloid fibrils are the principal components of Lewy bodies and neurites, hallmarks of Parkinson's disease (PD). We present a high-resolution structure of an α-synuclein fibril, in a form that induces robust pathology in primary neuronal culture, determined by solid-state NMR spectroscopy and validated by EM and X-ray fiber diffraction. Over 200 unique long-range distance restraints define a consensus structure with common amyloid features including parallel, in-register β-sheets and hydrophobic-core residues, and with substantial complexity arising from diverse structural features including an intermolecular salt bridge, a glutamine ladder, close backbone interactions involving small residues, and several steric zippers stabilizing a new orthogonal Greek-key topology. These characteristics contribute to the robust propagation of this fibril form, as supported by the structural similarity of early-onset-PD mutants. The structure provides a framework for understanding the interactions of α-synuclein with other proteins and small molecules, to aid in PD diagnosis and treatment.
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Affiliation(s)
- Marcus D Tuttle
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Gemma Comellas
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Andrew J Nieuwkoop
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Dustin J Covell
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
- Institute on Aging, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
- Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Deborah A Berthold
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Kathryn D Kloepper
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Joseph M Courtney
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Jae K Kim
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Alexander M Barclay
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Amy Kendall
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
- Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - William Wan
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
- Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - Gerald Stubbs
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
- Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, USA
| | - Virginia M Y Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
- Institute on Aging, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
- Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Julia M George
- Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Chad M Rienstra
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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40
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Abstract
Here, we show that modern solution nuclear magnetic resonance (NMR) structures of RNA exhibit more steric clashes and conformational ambiguities than their crystallographic X-ray counterparts. To tackle these issues, we developed RNA-ff1, a new force field for structure calculation with Xplor-NIH. Using seven published NMR datasets, RNA-ff1 improves covalent geometry and MolProbity validation criteria for clashes and backbone conformation in most cases, relative to both the previous Xplor-NIH force field and the original structures associated with the experimental data. In addition, with smaller base-pair step rises in helical stems, RNA-ff1 structures enjoy more favorable base stacking. Finally, structural accuracy improves in the majority of cases, as supported by complete residual dipolar coupling cross-validation. Thus, the reported advances show great promise in bridging the quality gap that separates NMR and X-ray structures of RNA.
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Affiliation(s)
- Guillermo A Bermejo
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892-5624, USA
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, USA
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892-5624, USA.
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41
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Deshmukh L, Schwieters CD, Grishaev A, Clore GM. Quantitative Characterization of Configurational Space Sampled by HIV-1 Nucleocapsid Using Solution NMR, X-ray Scattering and Protein Engineering. Chemphyschem 2016; 17:1548-52. [PMID: 26946052 DOI: 10.1002/cphc.201600212] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Indexed: 11/08/2022]
Abstract
Nucleic-acid-related events in the HIV-1 replication cycle are mediated by nucleocapsid, a small protein comprising two zinc knuckles connected by a short flexible linker and flanked by disordered termini. Combining experimental NMR residual dipolar couplings, solution X-ray scattering and protein engineering with ensemble simulated annealing, we obtain a quantitative description of the configurational space sampled by the two zinc knuckles, the linker and disordered termini in the absence of nucleic acids. We first compute the conformational ensemble (with an optimal size of three members) of an engineered nucleocapsid construct lacking the N- and C-termini that satisfies the experimental restraints, and then validate this ensemble, as well as characterize the disordered termini, using the experimental data from the full-length nucleocapsid construct. The experimental and computational strategy is generally applicable to multidomain proteins. Differential flexibility within the linker results in asymmetric motion of the zinc knuckles which may explain their functionally distinct roles despite high sequence identity. One of the configurations (populated at a level of ≈40 %) closely resembles that observed in various ligand-bound forms, providing evidence for conformational selection and a mechanistic link between protein dynamics and function.
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Affiliation(s)
- Lalit Deshmukh
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 20892-0520, USA
| | - Charles D Schwieters
- Imaging Sciences Laboratory, Center for Information and Technology, Bethesda, MD, 20892-5624, USA
| | - Alexander Grishaev
- Institute of Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, 20850, USA
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 20892-0520, USA.
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42
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Bae C, Anselmi C, Kalia J, Jara-Oseguera A, Schwieters CD, Krepkiy D, Won Lee C, Kim EH, Kim JI, Faraldo-Gómez JD, Swartz KJ. Structural insights into the mechanism of activation of the TRPV1 channel by a membrane-bound tarantula toxin. eLife 2016; 5. [PMID: 26880553 PMCID: PMC4764579 DOI: 10.7554/elife.11273] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 12/24/2015] [Indexed: 12/26/2022] Open
Abstract
Venom toxins are invaluable tools for exploring the structure and mechanisms of ion channels. Here, we solve the structure of double-knot toxin (DkTx), a tarantula toxin that activates the heat-activated TRPV1 channel. We also provide improved structures of TRPV1 with and without the toxin bound, and investigate the interactions of DkTx with the channel and membranes. We find that DkTx binds to the outer edge of the external pore of TRPV1 in a counterclockwise configuration, using a limited protein-protein interface and inserting hydrophobic residues into the bilayer. We also show that DkTx partitions naturally into membranes, with the two lobes exhibiting opposing energetics for membrane partitioning and channel activation. Finally, we find that the toxin disrupts a cluster of hydrophobic residues behind the selectivity filter that are critical for channel activation. Collectively, our findings reveal a novel mode of toxin-channel recognition that has important implications for the mechanism of thermosensation.
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Affiliation(s)
- Chanhyung Bae
- Molecular Physiology and Biophysics Section, Porter Neuroscience Research Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States.,Department of Life Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Claudio Anselmi
- Theoretical Molecular Biophysics Section, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, United States
| | - Jeet Kalia
- Molecular Physiology and Biophysics Section, Porter Neuroscience Research Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States.,Indian Institute of Science Education and Research, Pune, Pune, India
| | - Andres Jara-Oseguera
- Molecular Physiology and Biophysics Section, Porter Neuroscience Research Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, United States
| | - Dmitriy Krepkiy
- Molecular Physiology and Biophysics Section, Porter Neuroscience Research Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States
| | - Chul Won Lee
- Department of Chemistry, Chonnam National University, Gwanju, Republic of Korea
| | - Eun-Hee Kim
- Protein Structure Research Group, Korea Basic Science Institute, Ochang, Republic of Korea
| | - Jae Il Kim
- Department of Life Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - José D Faraldo-Gómez
- Theoretical Molecular Biophysics Section, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, United States
| | - Kenton J Swartz
- Molecular Physiology and Biophysics Section, Porter Neuroscience Research Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, United States
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43
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Venditti V, Schwieters CD, Grishaev A, Clore GM. Dynamic equilibrium between closed and partially closed states of the bacterial Enzyme I unveiled by solution NMR and X-ray scattering. Proc Natl Acad Sci U S A 2015; 112:11565-70. [PMID: 26305976 PMCID: PMC4577164 DOI: 10.1073/pnas.1515366112] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Enzyme I (EI) is the first component in the bacterial phosphotransferase system, a signal transduction pathway in which phosphoryl transfer through a series of bimolecular protein-protein interactions is coupled to sugar transport across the membrane. EI is a multidomain, 128-kDa homodimer that has been shown to exist in two conformational states related to one another by two large (50-90°) rigid body domain reorientations. The open conformation of apo EI allows phosphoryl transfer from His189 located in the N-terminal domain α/β (EIN(α/β)) subdomain to the downstream protein partner bound to the EIN(α) subdomain. The closed conformation, observed in a trapped phosphoryl transfer intermediate, brings the EIN(α/β) subdomain into close proximity to the C-terminal dimerization domain (EIC), thereby permitting in-line phosphoryl transfer from phosphoenolpyruvate (PEP) bound to EIC to His189. Here, we investigate the solution conformation of a complex of an active site mutant of EI (H189A) with PEP. Simulated annealing refinement driven simultaneously by solution small angle X-ray scattering and NMR residual dipolar coupling data demonstrates unambiguously that the EI(H189A)-PEP complex exists in a dynamic equilibrium between two approximately equally populated conformational states, one corresponding to the closed structure and the other to a partially closed species. The latter likely represents an intermediate in the open-to-closed transition.
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Affiliation(s)
- Vincenzo Venditti
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520; Department of Chemistry, Iowa State University, Ames, IA 50011
| | - Charles D Schwieters
- Division of Computational Biosciences, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892-5624
| | - Alexander Grishaev
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520;
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44
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Marassi FM, Ding Y, Schwieters CD, Tian Y, Yao Y. Backbone structure of Yersinia pestis Ail determined in micelles by NMR-restrained simulated annealing with implicit membrane solvation. J Biomol NMR 2015; 63:59-65. [PMID: 26143069 PMCID: PMC4577439 DOI: 10.1007/s10858-015-9963-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 06/30/2015] [Indexed: 06/04/2023]
Abstract
The outer membrane protein Ail (attachment invasion locus) is a virulence factor of Yersinia pestis that mediates cell invasion, cell attachment and complement resistance. Here we describe its three-dimensional backbone structure determined in decyl-phosphocholine (DePC) micelles by NMR spectroscopy. The NMR structure was calculated using the membrane function of the implicit solvation potential, eefxPot, which we have developed to facilitate NMR structure calculations in a physically realistic environment. We show that the eefxPot force field guides the protein towards its native fold. The resulting structures provide information about the membrane-embedded global position of Ail, and have higher accuracy, higher precision and improved conformational properties, compared to the structures calculated with the standard repulsive potential.
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Affiliation(s)
- Francesca M Marassi
- Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA.
| | - Yi Ding
- Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Building 12A, Bethesda, MD, 20892-5624, USA
| | - Ye Tian
- Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Yong Yao
- Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
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45
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Gutmanas A, Adams PD, Bardiaux B, Berman HM, Case DA, Fogh RH, Güntert P, Hendrickx PMS, Herrmann T, Kleywegt GJ, Kobayashi N, Lange OF, Markley JL, Montelione GT, Nilges M, Ragan TJ, Schwieters CD, Tejero R, Ulrich EL, Velankar S, Vranken WF, Wedell JR, Westbrook J, Wishart DS, Vuister GW. NMR Exchange Format: a unified and open standard for representation of NMR restraint data. Nat Struct Mol Biol 2015; 22:433-4. [PMID: 26036565 PMCID: PMC4546829 DOI: 10.1038/nsmb.3041] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Aleksandras Gutmanas
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Paul D Adams
- Physical Biosciences Division, Lawrence Berkeley Laboratory, Berkeley, California, USA
| | - Benjamin Bardiaux
- 1] Département de Biologie Structurale et Chimie, Unité de Bioinformatique Structurale, Institut Pasteur, Paris, France. [2] Unité Mixte de Recherche 3528, Centre National de la Recherche Scientifique, Paris, France
| | - Helen M Berman
- Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - David A Case
- Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - Rasmus H Fogh
- Department of Biochemistry, University of Leicester, Leicester, UK
| | - Peter Güntert
- 1] Institute of Biophysical Chemistry, Frankfurt Institute of Advanced Studies, Goethe University Frankfurt am Main, Frankfurt am Main, Germany. [2] Graduate School of Science and Engineering, Tokyo Metropolitan University, Tokyo, Japan. [3] Physical Chemistry, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland
| | - Pieter M S Hendrickx
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Torsten Herrmann
- 1] Centre de Résonance Magnétique Nucléaire à Très Hauts Champs, Ecole Normale Supérieure de Lyon, Villeurbanne, France. [2] Institut des Sciences Analytiques, Unité Mixte de Recherche 5280, Centre National de la Recherche Scientifique, Villeurbanne, France
| | - Gerard J Kleywegt
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | | | - Oliver F Lange
- Biomolecular NMR, Munich Center for Integrated Protein Science, Department Chemie, Technische Universität München, Garching, Germany
| | - John L Markley
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Gaetano T Montelione
- 1] Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA. [2] Department of Biochemistry and Molecular Biology, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - Michael Nilges
- 1] Département de Biologie Structurale et Chimie, Unité de Bioinformatique Structurale, Institut Pasteur, Paris, France. [2] Unité Mixte de Recherche 3528, Centre National de la Recherche Scientifique, Paris, France
| | - Timothy J Ragan
- Department of Biochemistry, University of Leicester, Leicester, UK
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland, USA
| | - Roberto Tejero
- Departamento de Quίmica Fίsica, Universidad de Valencia, Valencia, Spain
| | - Eldon L Ulrich
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Sameer Velankar
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Wim F Vranken
- 1] Structural Biology Research Centre, Vlaams Instituut voor Biotechnologie, Brussels, Belgium. [2] Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, Belgium. [3] Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles-Vrije Universiteit Brussel, Brussels, Belgium
| | - Jonathan R Wedell
- Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - John Westbrook
- Department of Chemistry and Chemical Biology, Center for Integrative Proteomics Research, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - David S Wishart
- 1] Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada. [2] Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
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46
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Sali A, Berman HM, Schwede T, Trewhella J, Kleywegt G, Burley SK, Markley J, Nakamura H, Adams P, Bonvin AMJJ, Chiu W, Peraro MD, Di Maio F, Ferrin TE, Grünewald K, Gutmanas A, Henderson R, Hummer G, Iwasaki K, Johnson G, Lawson CL, Meiler J, Marti-Renom MA, Montelione GT, Nilges M, Nussinov R, Patwardhan A, Rappsilber J, Read RJ, Saibil H, Schröder GF, Schwieters CD, Seidel CAM, Svergun D, Topf M, Ulrich EL, Velankar S, Westbrook JD. Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop. Structure 2015; 23:1156-67. [PMID: 26095030 PMCID: PMC4933300 DOI: 10.1016/j.str.2015.05.013] [Citation(s) in RCA: 139] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2015] [Revised: 05/11/2015] [Accepted: 05/18/2015] [Indexed: 01/20/2023]
Abstract
Structures of biomolecular systems are increasingly computed by integrative modeling that relies on varied types of experimental data and theoretical information. We describe here the proceedings and conclusions from the first wwPDB Hybrid/Integrative Methods Task Force Workshop held at the European Bioinformatics Institute in Hinxton, UK, on October 6 and 7, 2014. At the workshop, experts in various experimental fields of structural biology, experts in integrative modeling and visualization, and experts in data archiving addressed a series of questions central to the future of structural biology. How should integrative models be represented? How should the data and integrative models be validated? What data should be archived? How should the data and models be archived? What information should accompany the publication of integrative models?
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Affiliation(s)
- Andrej Sali
- Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, Byers Hall Room 503B, University of California, San Francisco, 1700 4(th) Street, San Francisco, CA 94158-2330, USA.
| | - Helen M Berman
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Torsten Schwede
- Swiss Institute of Bioinformatics Biozentrum, University of Basel, Klingelbergstrasse 50-70, 4056 Basel, Switzerland
| | - Jill Trewhella
- School of Molecular Bioscience, The University of Sydney, NSW 2006, Australia
| | - Gerard Kleywegt
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Skaggs School of Pharmacy and Pharmaceutical Sciences and San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - John Markley
- BioMagResBank, Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706-1544, USA
| | - Haruki Nakamura
- Protein Data Bank Japan, Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Paul Adams
- Physical Biosciences Division, Lawrence Berkeley Laboratory, Berkeley, CA 94720-8235, USA; Department of Bioengineering, UC Berkeley, Berkeley, CA 94720, USA
| | - Alexandre M J J Bonvin
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands
| | - Wah Chiu
- National Center for Macromolecular Imaging, Baylor College of Medicine, Houston, TX 77030, USA
| | - Matteo Dal Peraro
- Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL) and Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Frank Di Maio
- Department of Biochemistry, University of Washington, Seattle, WA 98195-7370, USA
| | - Thomas E Ferrin
- Department of Pharmaceutical Chemistry and Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, 600 16(th) Street, San Francisco, CA 94158-2517, USA
| | - Kay Grünewald
- Division of Structural Biology, Wellcome Trust Centre of Human Genetics, University of Oxford, OX3 7BN Oxford, UK
| | - Aleksandras Gutmanas
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Richard Henderson
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK
| | - Gerhard Hummer
- Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max-von-Laue Straße 3, 60438 Frankfurt am Main, Germany
| | - Kenji Iwasaki
- Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Graham Johnson
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, 600 16(th) Street, San Francisco, CA 94158-2330, USA
| | - Catherine L Lawson
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jens Meiler
- Department of Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, TN 37235, USA
| | - Marc A Marti-Renom
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Gene Regulation, Stem Cells and Cancer Program, Center for Genomic Regulation (CRG) and Institució Catalana de Recerca i Estudis Avançats (ICREA), 08028 Barcelona, Spain
| | - Gaetano T Montelione
- Center for Advanced Biotechnology and Medicine, Department of Molecular Biology and Biochemistry, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Biochemistry, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Michael Nilges
- Département de Biologie Structurale et Chimie, Unité de Bioinformatique Structurale, Institut Pasteur, F-75015 Paris, France; Unité Mixte de Recherche 3258, Centre National de la Recherche Scientifique, F-75015 Paris, France
| | - Ruth Nussinov
- Cancer and Inflammation Program, Leidos Biomedical Research Inc., Frederick National Laboratory, National Cancer Institute, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Ardan Patwardhan
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Juri Rappsilber
- Wellcome Trust Centre for Cell Biology, Institute of Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany
| | - Randy J Read
- Department of Haematology, Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK
| | - Helen Saibil
- Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, Malet Street, London WC1E 7HX, UK
| | - Gunnar F Schröder
- Institute of Complex Systems (ICS-6), Forschungszentrum Jülich, 52425 Jülich, Germany; Physics Department, Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892-0520, USA
| | - Claus A M Seidel
- Chair for Molecular Physical Chemistry, Heinrich-Heine-Universität, Universitätsstraße 1, 40225 Düsseldorf, Germany
| | - Dmitri Svergun
- European Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, 22607 Hamburg, Germany
| | - Maya Topf
- Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, Malet Street, London WC1E 7HX, UK
| | - Eldon L Ulrich
- BioMagResBank, Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706-1544, USA
| | - Sameer Velankar
- Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
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47
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Gao M, Paul S, Schwieters CD, You ZQ, Shao H, Herbert JM, Parquette JR, Jaroniec CP. A Structural Model for a Self-Assembled Nanotube Provides Insight into Its Exciton Dynamics. J Phys Chem C Nanomater Interfaces 2015; 119:13948-13956. [PMID: 26120375 PMCID: PMC4476570 DOI: 10.1021/acs.jpcc.5b03398] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 05/20/2015] [Indexed: 06/04/2023]
Abstract
The design and synthesis of functional self-assembled nanostructures is frequently an empirical process fraught with critical knowledge gaps about atomic-level structure in these noncovalent systems. Here, we report a structural model for a semiconductor nanotube formed via the self-assembly of naphthalenediimide-lysine (NDI-Lys) building blocks determined using experimental 13C-13C and 13C-15N distance restraints from solid-state nuclear magnetic resonance supplemented by electron microscopy and X-ray powder diffraction data. The structural model reveals a two-dimensional-crystal-like architecture of stacked monolayer rings each containing ∼50 NDI-Lys molecules, with significant π-stacking interactions occurring both within the confines of the ring and along the long axis of the tube. Excited-state delocalization and energy transfer are simulated for the nanotube based on time-dependent density functional theory and an incoherent hopping model. Remarkably, these calculations reveal efficient energy migration from the excitonic bright state, which is in agreement with the rapid energy transfer within NDI-Lys nanotubes observed previously using fluorescence spectroscopy.
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Affiliation(s)
- Min Gao
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Subhradip Paul
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Charles D. Schwieters
- Division
of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Zhi-Qiang You
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Hui Shao
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - John M. Herbert
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Jon R. Parquette
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
| | - Christopher P. Jaroniec
- Department
of Chemistry and Biochemistry, The Ohio
State University, Columbus, Ohio 43210, United States
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48
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Abstract
More than 40% of the RNA structures have been determined using nuclear magnetic resonance (NMR) technique. NMR mainly provides local structural information of protons and works most effectively on relatively small biomacromolecules. Hence structural characterization of large RNAs can be difficult for NMR alone. Electron microscopy (EM) provides global shape information of macromolecules at nanometer resolution, which should be complementary to NMR for RNA structure determination. Here we developed a new energy term in Xplor-NIH against the density map obtained by EM. We conjointly used NMR and map restraints for the structure refinement of three RNA systems — U2/U6 small-nuclear RNA, genome-packing motif (ΨCD)2 from Moloney murine leukemia virus, and ribosome-binding element from turnip crinkle virus. In all three systems, we showed that the incorporation of a map restraint, either experimental or generated from known PDB structure, greatly improves structural precision and accuracy. Importantly, our method does not rely on an initial model assembled from RNA duplexes, and allows full torsional freedom for each nucleotide in the torsion angle simulated annealing refinement. As increasing number of macromolecules can be characterized by both NMR and EM, the marriage between the two techniques would enable better characterization of RNA three-dimensional structures.
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Affiliation(s)
- Zhou Gong
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, National Magnetic Resonance Center at Wuhan, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, Hubei Province 430071, China
| | - Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Building 12A, Bethesda, MD 20892, United States of America
| | - Chun Tang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, National Magnetic Resonance Center at Wuhan, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, Hubei Province 430071, China
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49
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Sengupta I, Gao M, Arachchige RJ, Nadaud PS, Cunningham TF, Saxena S, Schwieters CD, Jaroniec CP. Protein structural studies by paramagnetic solid-state NMR spectroscopy aided by a compact cyclen-type Cu(II) binding tag. J Biomol NMR 2015; 61:1-6. [PMID: 25432438 PMCID: PMC4304965 DOI: 10.1007/s10858-014-9880-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 11/18/2014] [Indexed: 05/07/2023]
Abstract
Paramagnetic relaxation enhancements (PREs) are a rich source of structural information in protein solid-state NMR spectroscopy. Here we demonstrate that PRE measurements in natively diamagnetic proteins are facilitated by a thiol-reactive compact, cyclen-based, high-affinity Cu(2+) binding tag, 1-[2-(pyridin-2-yldisulfanyl)ethyl]-1,4,7,10-tetraazacyclododecane (TETAC), that overcomes the key shortcomings associated with the use of larger, more flexible metal-binding tags. Using the TETAC-Cu(2+) K28C mutant of B1 immunoglobulin-binding domain of protein G as a model, we find that amino acid residues located within ~10 Å of the Cu(2+) center experience considerable transverse PREs leading to severely attenuated resonances in 2D (15)N-(13)C correlation spectra. For more distant residues, electron-nucleus distances are accessible via quantitative measurements of longitudinal PREs, and we demonstrate such measurements for (15)N-Cu(2+) distances up to ~20 Å.
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Affiliation(s)
- Ishita Sengupta
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Min Gao
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Rajith J. Arachchige
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Philippe S. Nadaud
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Timothy F. Cunningham
- Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - Sunil Saxena
- Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - Charles D. Schwieters
- Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Christopher P. Jaroniec
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
- Corresponding author: Christopher P. Jaroniec,
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50
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Schwieters CD, Clore GM. Using small angle solution scattering data in Xplor-NIH structure calculations. Prog Nucl Magn Reson Spectrosc 2014; 80:1-11. [PMID: 24924264 PMCID: PMC4057650 DOI: 10.1016/j.pnmrs.2014.03.001] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 03/19/2014] [Accepted: 03/19/2014] [Indexed: 06/03/2023]
Abstract
This contribution describes the use of small and wide angle X-ray and small angle neutron scattering for biomolecular structure calculation using the program Xplor-NIH, both with and without NMR data. The current algorithms used for calculating scattering curves are described, and the use of scattering data as a structural restraint is given concrete form as a fragment of an Xplor-NIH structure calculation script. We review five examples of the use of scattering data in structure calculation, including the treatment of single domain proteins, nucleic acids, structure determination of large proteins, and the use of ensemble representations to characterize small and large amplitude motions.
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Affiliation(s)
- Charles D Schwieters
- Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Building 12A, Bethesda, MD 20892-5624, United States.
| | - G Marius Clore
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Building 5, Bethesda, MD 20892-0510, United States.
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