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Kumar S, Akabayov SR, Kessler N, Cohen LS, Solanki J, Naider F, Kay LE, Anglister J. The methyl 13C-edited/ 13C-filtered transferred NOE for studying protein interactions with short linear motifs. JOURNAL OF BIOMOLECULAR NMR 2020; 74:681-693. [PMID: 32997264 DOI: 10.1007/s10858-020-00340-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 08/12/2020] [Indexed: 06/11/2023]
Abstract
Many proteins interact with their ligand proteins by recognition of short linear motifs that are often intrinsically disordered. These interactions are usually weak and are characterized by fast exchange. NMR spectroscopy is a powerful tool to study weak interactions. The methods that have been commonly used are analysis of chemicals shift perturbations (CSP) upon ligand binding and saturation transfer difference spectroscopy. These two methods identify residues at the binding interface between the protein and its ligand. In the present study, we used a combination of transferred-NOE, specific methyl-labeling and an optimized isotope-edited/isotope-filtered NOESY experiment to study specific interactions between the 42 kDa p38α mitogen-activated protein kinase and the kinase interaction motif (KIM) on the STEP phosphatase. These measurements distinguished between residues that both exhibit CSPs upon ligand binding and interact with the KIM peptide from residues that exhibit CSPs but do not interact with the peptide. In addition, these results provide information about pairwise interactions that is important for a more reliable docking of the KIM peptide into its interacting surface on p38α. This combination of techniques should be applicable for many protein-peptide complexes up to 80 kDa for which methyl resonance assignment can be achieved.
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Affiliation(s)
- Suresh Kumar
- Department of Structural Biology, Weizmann Institute of Science, 76100, Rehovot, Israel
| | - Sabine R Akabayov
- Department of Structural Biology, Weizmann Institute of Science, 76100, Rehovot, Israel.
| | - Naama Kessler
- Department of Structural Biology, Weizmann Institute of Science, 76100, Rehovot, Israel
| | - Leah S Cohen
- Department of Chemistry and Macromolecular Assembly Institute, College of Staten Island of the City University of New York, Staten Island, NY, 10314, USA
- The Graduate Center of the City University of New York, New York, NY, 10016, USA
| | - Jacob Solanki
- Department of Chemistry and Macromolecular Assembly Institute, College of Staten Island of the City University of New York, Staten Island, NY, 10314, USA
- The Graduate Center of the City University of New York, New York, NY, 10016, USA
| | - Fred Naider
- Department of Chemistry and Macromolecular Assembly Institute, College of Staten Island of the City University of New York, Staten Island, NY, 10314, USA
- The Graduate Center of the City University of New York, New York, NY, 10016, USA
| | - Lewis E Kay
- Department of Molecular Genetics, The University of Toronto, Toronto, ON, M5S1A8, Canada
- Department of Biochemistry, The University of Toronto, Toronto, ON, M5S1A8, Canada
- Department of Chemistry, The University of Toronto, Toronto, ON, M5S1A8, Canada
- Hospital for Sick Children, Program in Molecular Medicine, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Jacob Anglister
- Department of Structural Biology, Weizmann Institute of Science, 76100, Rehovot, Israel.
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Zhang L, Ma H, Qian W, Li H. Sequence-based protein structure optimization using enhanced simulated annealing algorithm on a coarse-grained model. J Mol Model 2020; 26:250. [PMID: 32833195 DOI: 10.1007/s00894-020-04490-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 07/30/2020] [Indexed: 12/28/2022]
Abstract
The understanding of protein structure is vital to determine biological function. We presented an enhanced simulated annealing (ESA) algorithm to investigate protein three-dimensional (3D) structure on a coarse-grained model. Inside the algorithm, we adjusted exploration equations to achieve good search intensity. To that end, our algorithm used (i) a multivariable disturbance operator for diversification of solution, (ii) a sign function to improve randomness of solution, and (iii) taking remainder operation performed on floating-point number to tackle out-of-range solution. By monitoring energy value throughout the simulation, the energy-optimal state can be found. The ESA algorithm was tested on artificial and real protein sequences with different lengths. The results show that our algorithm outperforms conventional simulated annealing algorithm and can compete with the reported algorithms before. Especially, our algorithm can obtain folding conformations with specific structural features. Further analysis shows that simulating trajectory of seeking the lowest energy can exhibit thermodynamic behavior of protein folding. Graphical Abstract.
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Affiliation(s)
- Lizhong Zhang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.,College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, 110142, China
| | - He Ma
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China. .,Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, 110169, China.
| | - Wei Qian
- Department of Electrical and Computer Engineering, College of Engineering, University of Texas, El Paso, TX, 79968, USA
| | - Haiyan Li
- College of Pharmaceutical and Bioengineering, Shenyang University of Chemical Technology, Shenyang, 110142, China
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3
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Hydrogen deuterium exchange mass spectrometry in biopharmaceutical discovery and development – A review. Anal Chim Acta 2016; 940:8-20. [DOI: 10.1016/j.aca.2016.08.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/25/2016] [Accepted: 08/07/2016] [Indexed: 01/14/2023]
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4
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Boulton S, Melacini G. Advances in NMR Methods To Map Allosteric Sites: From Models to Translation. Chem Rev 2016; 116:6267-304. [PMID: 27111288 DOI: 10.1021/acs.chemrev.5b00718] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The last five years have witnessed major developments in the understanding of the allosteric phenomenon, broadly defined as coupling between remote molecular sites. Such advances have been driven not only by new theoretical models and pharmacological applications of allostery, but also by progress in the experimental approaches designed to map allosteric sites and transitions. Among these techniques, NMR spectroscopy has played a major role given its unique near-atomic resolution and sensitivity to the dynamics that underlie allosteric couplings. Here, we highlight recent progress in the NMR methods tailored to investigate allostery with the goal of offering an overview of which NMR approaches are best suited for which allosterically relevant questions. The picture of the allosteric "NMR toolbox" is provided starting from one of the simplest models of allostery (i.e., the four-state thermodynamic cycle) and continuing to more complex multistate mechanisms. We also review how such an "NMR toolbox" has assisted the elucidation of the allosteric molecular basis for disease-related mutations and the discovery of novel leads for allosteric drugs. From this overview, it is clear that NMR plays a central role not only in experimentally validating transformative theories of allostery, but also in tapping the full translational potential of allosteric systems.
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Affiliation(s)
- Stephen Boulton
- Department of Chemistry and Chemical Biology Department of Biochemistry and Biomedical Sciences, McMaster University , 1280 Main St. W., Hamilton L8S 4M1, Canada
| | - Giuseppe Melacini
- Department of Chemistry and Chemical Biology Department of Biochemistry and Biomedical Sciences, McMaster University , 1280 Main St. W., Hamilton L8S 4M1, Canada
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5
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Papaleo E, Saladino G, Lambrughi M, Lindorff-Larsen K, Gervasio FL, Nussinov R. The Role of Protein Loops and Linkers in Conformational Dynamics and Allostery. Chem Rev 2016; 116:6391-423. [DOI: 10.1021/acs.chemrev.5b00623] [Citation(s) in RCA: 239] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Elena Papaleo
- Computational
Biology Laboratory, Unit of Statistics, Bioinformatics and Registry, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
- Structural
Biology and NMR Laboratory, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Giorgio Saladino
- Department
of Chemistry, University College London, London WC1E 6BT, United Kingdom
| | - Matteo Lambrughi
- Department
of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza
della Scienza 2, 20126 Milan, Italy
| | - Kresten Lindorff-Larsen
- Structural
Biology and NMR Laboratory, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Ruth Nussinov
- Cancer
and Inflammation Program, Leidos Biomedical Research, Inc., Frederick
National Laboratory for Cancer Research, National Cancer Institute Frederick, Frederick, Maryland 21702, United States
- Sackler Institute
of Molecular Medicine, Department of Human Genetics and Molecular
Medicine Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
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Stanford SM, Ahmed V, Barrios AM, Bottini N. Cellular biochemistry methods for investigating protein tyrosine phosphatases. Antioxid Redox Signal 2014; 20:2160-78. [PMID: 24294920 PMCID: PMC3995294 DOI: 10.1089/ars.2013.5731] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
SIGNIFICANCE The protein tyrosine phosphatases (PTPs) are a family of proteins that play critical roles in cellular signaling and influence many aspects of human health and disease. Although a wealth of information has been collected about PTPs since their discovery, many questions regarding their regulation and function still remain. CRITICAL ISSUES Of particular importance are the elucidation of the biological substrates of individual PTPs and understanding of the chemical and biological basis for temporal and spatial resolution of PTP activity within a cell. RECENT ADVANCES Drawing from recent advances in both biology and chemistry, innovative approaches have been developed to study the intracellular biochemistry and physiology of PTPs. We provide a summary of PTP-tailored techniques and approaches, emphasizing methodologies to study PTP activity within a cellular context. We first provide a discussion of methods for identifying PTP substrates, including substrate-trapping mutants and synthetic peptide libraries for substrate selectivity profiling. We next provide an overview of approaches for monitoring intracellular PTP activity, including a discussion of mechanistic-based probes, gel-based assays, substrates that can be used intracellularly, and assays tied to cell growth. Finally, we review approaches used for monitoring PTP oxidation, a key regulatory pathway for these enzymes, discussing the biotin switch method and variants of this approach, along with affinity trapping techniques and probes designed to detect PTP oxidation. FUTURE DIRECTIONS Further development of approaches to investigate the intracellular PTP activity and functions will provide specific insight into their mechanisms of action and control of diverse signaling pathways.
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Affiliation(s)
- Stephanie M Stanford
- 1 Division of Cellular Biology, La Jolla Institute for Allergy and Immunology , La Jolla, California
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