1
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Dialpuri JS, Bagdonas H, Schofield LC, Pham PT, Holland L, Agirre J. Monitoring carbohydrate 3D structure quality with the Privateer database. Beilstein J Org Chem 2024; 20:931-939. [PMID: 38711584 PMCID: PMC11070961 DOI: 10.3762/bjoc.20.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/10/2024] [Indexed: 05/08/2024] Open
Abstract
The remediation of the carbohydrate data of the Protein Data Bank (PDB) has brought numerous enhancements to the findability and interpretability of deposited glycan structures, yet crucial quality indicators are either missing or hard to find on the PDB pages. Without a way to access wider glycochemical context, problematic structures may be taken as fact by keen but inexperienced scientists. The Privateer software is a validation and analysis tool that provides access to a number of metrics and links to external experimental resources, allowing users to evaluate structures using carbohydrate-specific methods. Here, we present the Privateer database, a free resource that aims to complement the growing glycan content of the PDB.
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Affiliation(s)
- Jordan S Dialpuri
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
| | - Haroldas Bagdonas
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
| | - Lucy C Schofield
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
| | - Phuong Thao Pham
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
| | - Lou Holland
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, UK
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2
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Dialpuri JS, Bagdonas H, Schofield LC, Pham PT, Holland L, Bond PS, Sánchez Rodríguez F, McNicholas SJ, Agirre J. Online carbohydrate 3D structure validation with the Privateer web app. Acta Crystallogr F Struct Biol Commun 2024; 80:30-35. [PMID: 38265073 PMCID: PMC10836424 DOI: 10.1107/s2053230x24000359] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024] Open
Abstract
Owing to the difficulties associated with working with carbohydrates, validating glycan 3D structures prior to deposition into the Protein Data Bank has become a staple of the structure-solution pipeline. The Privateer software provides integrative methods for the validation, analysis, refinement and graphical representation of 3D atomic structures of glycans, both as ligands and as protein modifiers. While Privateer is free software, it requires users to install any of the structural biology software suites that support it or to build it from source code. Here, the Privateer web app is presented, which is always up to date and available to be used online (https://privateer.york.ac.uk) without installation. This self-updating tool, which runs locally on the user's machine, will allow structural biologists to simply and quickly analyse carbohydrate ligands and protein glycosylation from a web browser whilst retaining all confidential information on their devices.
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Affiliation(s)
- Jordan S. Dialpuri
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Haroldas Bagdonas
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Lucy C. Schofield
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Phuong Thao Pham
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Lou Holland
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Paul S. Bond
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Filomeno Sánchez Rodríguez
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Stuart J. McNicholas
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 3BG, United Kingdom
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3
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Weber P, Mészáros Z, Bojarová P, Ebner M, Fischer R, Křen V, Kulik N, Müller P, Vlachová M, Slámová K, Stütz AE, Thonhofer M, Torvisco A, Wrodnigg TM, Wolfsgruber A. Highly functionalized diaminocyclopentanes: A new route to potent and selective inhibitors of human O-GlcNAcase. Bioorg Chem 2023; 140:106819. [PMID: 37666109 DOI: 10.1016/j.bioorg.2023.106819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/11/2023] [Accepted: 08/27/2023] [Indexed: 09/06/2023]
Abstract
A new class of compounds inhibiting de-O-glycosylation of proteins has been identified. Highly substituted diaminocyclopentanes are impressively selective reversible non-transition state O-β-N-acetyl-d-glucosaminidase (O-GlcNAcase) inhibitors. The ease of preparative access and remarkable biological activities provide highly viable leads for the development of anti-tau-phosphorylation agents with a view to eventually ameliorating Alzheimer's disease.
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Affiliation(s)
- Patrick Weber
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria.
| | - Zuzana Mészáros
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Pavla Bojarová
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Manuel Ebner
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Roland Fischer
- Institute of Inorganic Chemistry, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Vladimír Křen
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Natalia Kulik
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Philipp Müller
- Institute of Inorganic Chemistry, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Miluše Vlachová
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Kristýna Slámová
- Institute of Microbiology of the Czech Academy of Sciences, Vídeňská 1083, CZ 14200, Prague 4, Czech Republic
| | - Arnold E Stütz
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Martin Thonhofer
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Ana Torvisco
- Institute of Inorganic Chemistry, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Tanja M Wrodnigg
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
| | - Andreas Wolfsgruber
- Glycogroup, Institute of Chemistry and Technology of Biobased Systems, Graz University of Technology, Stremayrgasse 9, A-8010 Graz, Austria
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4
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Kadirvelraj R, Boruah BM, Wang S, Chapla D, Huang C, Ramiah A, Hudson KL, Prudden AR, Boons GJ, Withers SG, Wood ZA, Moremen KW. Structural basis for Lewis antigen synthesis by the α1,3-fucosyltransferase FUT9. Nat Chem Biol 2023; 19:1022-1030. [PMID: 37202521 PMCID: PMC10726971 DOI: 10.1038/s41589-023-01345-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 04/20/2023] [Indexed: 05/20/2023]
Abstract
Mammalian cell surface and secreted glycoproteins exhibit remarkable glycan structural diversity that contributes to numerous physiological and pathogenic interactions. Terminal glycan structures include Lewis antigens synthesized by a collection of α1,3/4-fucosyltransferases (CAZy GT10 family). At present, the only available crystallographic structure of a GT10 member is that of the Helicobacter pylori α1,3-fucosyltransferase, but mammalian GT10 fucosyltransferases are distinct in sequence and substrate specificity compared with the bacterial enzyme. Here, we determined crystal structures of human FUT9, an α1,3-fucosyltransferase that generates Lewisx and Lewisy antigens, in complex with GDP, acceptor glycans, and as a FUT9-donor analog-acceptor Michaelis complex. The structures reveal substrate specificity determinants and allow prediction of a catalytic model supported by kinetic analyses of numerous active site mutants. Comparisons with other GT10 fucosyltransferases and GT-B fold glycosyltransferases provide evidence for modular evolution of donor- and acceptor-binding sites and specificity for Lewis antigen synthesis among mammalian GT10 fucosyltransferases.
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Affiliation(s)
- Renuka Kadirvelraj
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA, USA
| | - Bhargavi M Boruah
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Shuo Wang
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Digantkumar Chapla
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Chin Huang
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA, USA
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Annapoorani Ramiah
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Kieran L Hudson
- Department of Biochemistry and Molecular Biology, Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Geert-Jan Boons
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
- Department of Chemistry, University of Georgia, Athens, GA, USA
| | - Stephen G Withers
- Department of Biochemistry and Molecular Biology, Department of Chemistry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Zachary A Wood
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA, USA.
| | - Kelley W Moremen
- Department of Biochemistry & Molecular Biology, University of Georgia, Athens, GA, USA.
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
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5
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Caniels TG, Medina-Ramírez M, Zhang J, Sarkar A, Kumar S, LaBranche A, Derking R, Allen JD, Snitselaar JL, Capella-Pujol J, Sánchez IDM, Yasmeen A, Diaz M, Aldon Y, Bijl TPL, Venkatayogi S, Martin Beem JS, Newman A, Jiang C, Lee WH, Pater M, Burger JA, van Breemen MJ, de Taeye SW, Rantalainen K, LaBranche C, Saunders KO, Montefiori D, Ozorowski G, Ward AB, Crispin M, Moore JP, Klasse PJ, Haynes BF, Wilson IA, Wiehe K, Verkoczy L, Sanders RW. Germline-targeting HIV-1 Env vaccination induces VRC01-class antibodies with rare insertions. Cell Rep Med 2023; 4:101003. [PMID: 37044090 PMCID: PMC10140475 DOI: 10.1016/j.xcrm.2023.101003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/23/2023] [Accepted: 03/17/2023] [Indexed: 04/14/2023]
Abstract
Targeting germline (gl-) precursors of broadly neutralizing antibodies (bNAbs) is acknowledged as an important strategy for HIV-1 vaccines. The VRC01-class of bNAbs is attractive because of its distinct genetic signature. However, VRC01-class bNAbs often require extensive somatic hypermutation, including rare insertions and deletions. We describe a BG505 SOSIP trimer, termed GT1.2, to optimize binding to gl-CH31, the unmutated common precursor of the CH30-34 bNAb lineage that acquired a large CDRH1 insertion. The GT1.2 trimer activates gl-CH31 naive B cells in knock-in mice, and B cell responses could be matured by selected boosting immunogens to generate cross-reactive Ab responses. Next-generation B cell sequencing reveals selection for VRC01-class mutations, including insertions in CDRH1 and FWR3 at positions identical to VRC01-class bNAbs, as well as CDRL1 deletions and/or glycine substitutions to accommodate the N276 glycan. These results provide proof of concept for vaccine-induced affinity maturation of B cell lineages that require rare insertions and deletions.
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Affiliation(s)
- Tom G Caniels
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Max Medina-Ramírez
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Jinsong Zhang
- Applied Biomedical Science Institute, San Diego, CA, USA
| | - Anita Sarkar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sonu Kumar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Alex LaBranche
- Applied Biomedical Science Institute, San Diego, CA, USA
| | - Ronald Derking
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Joel D Allen
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Jonne L Snitselaar
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Joan Capella-Pujol
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Iván Del Moral Sánchez
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Anila Yasmeen
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA
| | - Marilyn Diaz
- Applied Biomedical Science Institute, San Diego, CA, USA
| | - Yoann Aldon
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tom P L Bijl
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | | | | | - Amanda Newman
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Chuancang Jiang
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA
| | - Wen-Hsin Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Maarten Pater
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Judith A Burger
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Mariëlle J van Breemen
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Steven W de Taeye
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Kimmo Rantalainen
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Celia LaBranche
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Kevin O Saunders
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - David Montefiori
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA; Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Gabriel Ozorowski
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - John P Moore
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA
| | - Per Johan Klasse
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA
| | - Barton F Haynes
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA; The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kevin Wiehe
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | | | - Rogier W Sanders
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands; Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA.
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6
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Quintana JI, Atxabal U, Unione L, Ardá A, Jiménez-Barbero J. Exploring multivalent carbohydrate-protein interactions by NMR. Chem Soc Rev 2023; 52:1591-1613. [PMID: 36753338 PMCID: PMC9987413 DOI: 10.1039/d2cs00983h] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Indexed: 02/09/2023]
Abstract
Nuclear Magnetic Resonance (NMR) has been widely employed to assess diverse features of glycan-protein molecular recognition events. Different types of qualitative and quantitative information at different degrees of resolution and complexity can be extracted from the proper application of the available NMR-techniques. In fact, affinity, structural, kinetic, conformational, and dynamic characteristics of the binding process are available. Nevertheless, except in particular cases, the affinity of lectin-sugar interactions is weak, mostly at the low mM range. This feature is overcome in biological processes by using multivalency, thus augmenting the strength of the binding. However, the application of NMR methods to monitor multivalent lectin-glycan interactions is intrinsically challenging. It is well known that when large macromolecular complexes are formed, the NMR signals disappear from the NMR spectrum, due to the existence of fast transverse relaxation, related to the large size and exchange features. Indeed, at the heart of the molecular recognition event, the associated free-bound chemical exchange process for both partners takes place in a particular timescale. Thus, these factors have to be considered and overcome. In this review article, we have distinguished, in a subjective manner, the existence of multivalent presentations in the glycan or in the lectin. From the glycan perspective, we have also considered whether multiple epitopes of a given ligand are presented in the same linear chain of a saccharide (i.e., poly-LacNAc oligosaccharides) or decorating different arms of a multiantennae scaffold, either natural (as in multiantennae N-glycans) or synthetic (of dendrimer or polymer nature). From the lectin perspective, the presence of an individual binding site at every monomer of a multimeric lectin may also have key consequences for the binding event at different levels of complexity.
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Affiliation(s)
- Jon I Quintana
- CICbioGUNE, Basque Research & Technology Alliance (BRTA), Bizkaia Technology Park, Building 800, 48160 Derio, Bizkaia, Spain.
| | - Unai Atxabal
- CICbioGUNE, Basque Research & Technology Alliance (BRTA), Bizkaia Technology Park, Building 800, 48160 Derio, Bizkaia, Spain.
| | - Luca Unione
- CICbioGUNE, Basque Research & Technology Alliance (BRTA), Bizkaia Technology Park, Building 800, 48160 Derio, Bizkaia, Spain.
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Bizkaia, Spain
| | - Ana Ardá
- CICbioGUNE, Basque Research & Technology Alliance (BRTA), Bizkaia Technology Park, Building 800, 48160 Derio, Bizkaia, Spain.
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Bizkaia, Spain
| | - Jesús Jiménez-Barbero
- CICbioGUNE, Basque Research & Technology Alliance (BRTA), Bizkaia Technology Park, Building 800, 48160 Derio, Bizkaia, Spain.
- Ikerbasque, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Bizkaia, Spain
- Department of Organic Chemistry, II Faculty of Science and Technology, EHU-UPV, 48940 Leioa, Spain
- Centro de Investigación Biomédica En Red de Enfermedades Respiratorias, Madrid, Spain
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7
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Forrester TJB, Ovchinnikova OG, Li Z, Kitova EN, Nothof JT, Koizumi A, Klassen JS, Lowary TL, Whitfield C, Kimber MS. The retaining β-Kdo glycosyltransferase WbbB uses a double-displacement mechanism with an intermediate adduct rearrangement step. Nat Commun 2022; 13:6277. [PMID: 36271007 PMCID: PMC9587256 DOI: 10.1038/s41467-022-33988-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 10/07/2022] [Indexed: 12/25/2022] Open
Abstract
WbbB, a lipopolysaccharide O-antigen synthesis enzyme from Raoultella terrigena, contains an N-terminal glycosyltransferase domain with a highly modified architecture that adds a terminal β-Kdo (3-deoxy-D-manno-oct-2-ulosonic acid) residue to the O-antigen saccharide, with retention of stereochemistry. We show, using mass spectrometry, that WbbB forms a covalent adduct between the catalytic nucleophile, Asp232, and Kdo. We also determine X-ray structures for the CMP-β-Kdo donor complex, for Kdo-adducts with D232N and D232C WbbB variants, for a synthetic disaccharide acceptor complex, and for a ternary complex with both a Kdo-adduct and the acceptor. Together, these structures show that the enzyme-linked Asp232-Kdo adduct rotates to reposition the Kdo into a second sub-site, which then transfers Kdo to the acceptor. Retaining glycosyltransferases were thought to use only the front-side SNi substitution mechanism; here we show that retaining glycosyltransferases can also potentially use double-displacement mechanisms, but incorporating an additional catalytic subsite requires rearrangement of the protein's architecture.
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Affiliation(s)
- Taylor J. B. Forrester
- grid.34429.380000 0004 1936 8198Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road E., Guelph, ON N1G 2W1 Canada
| | - Olga G. Ovchinnikova
- grid.34429.380000 0004 1936 8198Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road E., Guelph, ON N1G 2W1 Canada
| | - Zhixiong Li
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada
| | - Elena N. Kitova
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada
| | - Jeremy T. Nothof
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada
| | - Akihiko Koizumi
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada
| | - John S. Klassen
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada
| | - Todd L. Lowary
- grid.17089.370000 0001 2190 316XDepartment of Chemistry, University of Alberta, 11227 Saskatchewan Drive, Edmonton, AB T6G 2G2 Canada ,grid.506934.d0000 0004 0633 7878Institute of Biological Chemistry, Academia Sinica, Academia Road, Section 2, #128, Nangang, Taipei, 11529 Taiwan ,grid.19188.390000 0004 0546 0241Institute of Biochemical Sciences, National Taiwan University, Section 4, #1, Roosevelt Road, Taipei, 10617 Taiwan
| | - Chris Whitfield
- grid.34429.380000 0004 1936 8198Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road E., Guelph, ON N1G 2W1 Canada
| | - Matthew S. Kimber
- grid.34429.380000 0004 1936 8198Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road E., Guelph, ON N1G 2W1 Canada
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8
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Abstract
Glycoscience assembles all the scientific disciplines involved in studying various molecules and macromolecules containing carbohydrates and complex glycans. Such an ensemble involves one of the most extensive sets of molecules in quantity and occurrence since they occur in all microorganisms and higher organisms. Once the compositions and sequences of these molecules are established, the determination of their three-dimensional structural and dynamical features is a step toward understanding the molecular basis underlying their properties and functions. The range of the relevant computational methods capable of addressing such issues is anchored by the specificity of stereoelectronic effects from quantum chemistry to mesoscale modeling throughout molecular dynamics and mechanics and coarse-grained and docking calculations. The Review leads the reader through the detailed presentations of the applications of computational modeling. The illustrations cover carbohydrate-carbohydrate interactions, glycolipids, and N- and O-linked glycans, emphasizing their role in SARS-CoV-2. The presentation continues with the structure of polysaccharides in solution and solid-state and lipopolysaccharides in membranes. The full range of protein-carbohydrate interactions is presented, as exemplified by carbohydrate-active enzymes, transporters, lectins, antibodies, and glycosaminoglycan binding proteins. A final section features a list of 150 tools and databases to help address the many issues of structural glycobioinformatics.
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Affiliation(s)
- Serge Perez
- Centre de Recherche sur les Macromolecules Vegetales, University of Grenoble-Alpes, Centre National de la Recherche Scientifique, Grenoble F-38041, France
| | - Olga Makshakova
- FRC Kazan Scientific Center of Russian Academy of Sciences, Kazan Institute of Biochemistry and Biophysics, Kazan 420111, Russia
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9
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A database of calculated solution parameters for the AlphaFold predicted protein structures. Sci Rep 2022; 12:7349. [PMID: 35513443 PMCID: PMC9072687 DOI: 10.1038/s41598-022-10607-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/07/2022] [Indexed: 12/22/2022] Open
Abstract
Recent spectacular advances by AI programs in 3D structure predictions from protein sequences have revolutionized the field in terms of accuracy and speed. The resulting “folding frenzy” has already produced predicted protein structure databases for the entire human and other organisms’ proteomes. However, rapidly ascertaining a predicted structure’s reliability based on measured properties in solution should be considered. Shape-sensitive hydrodynamic parameters such as the diffusion and sedimentation coefficients (\documentclass[12pt]{minimal}
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\begin{document}$${s_{{\left( {{20},w} \right)}}^{{0}} }$$\end{document}s20,w0) and the intrinsic viscosity ([η]) can provide a rapid assessment of the overall structure likeliness, and SAXS would yield the structure-related pair-wise distance distribution function p(r) vs. r. Using the extensively validated UltraScan SOlution MOdeler (US-SOMO) suite, a database was implemented calculating from AlphaFold structures the corresponding \documentclass[12pt]{minimal}
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\begin{document}$${D_{t(20,w)}^{0}}$$\end{document}Dt(20,w)0, \documentclass[12pt]{minimal}
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\begin{document}$${s_{{\left( {{20},w} \right)}}^{{0}} }$$\end{document}s20,w0, [η], p(r) vs. r, and other parameters. Circular dichroism spectra were computed using the SESCA program. Some of AlphaFold’s drawbacks were mitigated, such as generating whenever possible a protein’s mature form. Others, like the AlphaFold direct applicability to single-chain structures only, the absence of prosthetic groups, or flexibility issues, are discussed. Overall, this implementation of the US-SOMO-AF database should already aid in rapidly evaluating the consistency in solution of a relevant portion of AlphaFold predicted protein structures.
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10
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Atanasova M, Nicholls RA, Joosten RP, Agirre J. Updated restraint dictionaries for carbohydrates in the pyranose form. Acta Crystallogr D Struct Biol 2022; 78:455-465. [PMID: 35362468 PMCID: PMC8972801 DOI: 10.1107/s2059798322001103] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 01/31/2022] [Indexed: 11/10/2022] Open
Abstract
Restraint dictionaries are used during macromolecular structure refinement to encapsulate intramolecular connectivity and geometric information. These dictionaries allow previously determined `ideal' values of features such as bond lengths, angles and torsions to be used as restraint targets. During refinement, restraints influence the model to adopt a conformation that agrees with prior observation. This is especially important when refining crystal structures of glycosylated proteins, as their resolutions tend to be worse than those of nonglycosylated proteins. Pyranosides, the overwhelming majority component in all forms of protein glycosylation, often display conformational errors in crystal structures. Whilst many of these flaws usually relate to model building, refinement issues may also have their root in suboptimal restraint dictionaries. In order to avoid subsequent misinterpretation and to improve the quality of all pyranose monosaccharide entries in the CCP4 Monomer Library, new dictionaries with improved ring torsion restraints, coordinates reflecting the lowest-energy ring pucker and updated geometry have been produced and evaluated. These new dictionaries are now part of the CCP4 Monomer Library and will be released with CCP4 version 8.0.
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Affiliation(s)
- Mihaela Atanasova
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5DD, United Kingdom
| | - Robert A. Nicholls
- Structural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom
| | - Robbie P. Joosten
- Biochemistry Department, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5DD, United Kingdom
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11
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Carbohydrate anchored lipid nanoparticles. Int J Pharm 2022; 618:121681. [PMID: 35307469 DOI: 10.1016/j.ijpharm.2022.121681] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 03/08/2022] [Accepted: 03/15/2022] [Indexed: 12/18/2022]
Abstract
Nanotechnology has been a dynamic field for formulation scientists with multidisciplinary research being conducted worldwide. Advancements in development of functional nanosystems have led to evolution of breakthrough technologies. Lipidic nanosystems, in particular, are highly preferred owing to their non-immunogenic safety profiles along with a range of versatile intrinsic properties. Surface modification of lipid nanoparticles by anchoring carbohydrates to these systems is one such attractive drug delivery technology. Carbohydrates confer interesting properties to the nanosystems such as stealth, biostability, bioavailability, reduced toxicity due to decreased immunogenic response, targeting potential as well as ease of commercial availability. The carbohydrate anchored systems can be developed using methods such as adsorption, incorporation (nanoprecipitation or solvent displacement method), crosslinking and grafting. Current review provides a detailed overview of potential lipid based nanoparticulate systems with an emphasis on liposomes, solid lipid nanoparticles, nanostructures lipid carriers and micelles. Review further explores basics of surface modification, methods applied therein, advantages of carbohydrates as surface modifiers, their versatile applications, techniques for characterization of carbohydrate anchored systems and vital regulatory aspects concerned with these specialized systems.
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12
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Scherbinina SI, Frank M, Toukach PV. Carbohydrate structure database (CSDB) oligosaccharide conformation tool. Glycobiology 2022; 32:460-468. [PMID: 35275211 DOI: 10.1093/glycob/cwac011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/17/2022] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
Population analysis in terms of glycosidic torsion angles is frequently used to reveal preferred conformers of glycans. However, due to high structural diversity and flexibility of carbohydrates, conformational characterization of complex glycans can be a challenging task. Herein we present a conformation module of oligosaccharide fragments occurring in natural glycan structures developed on the platform of the Carbohydrate Structure Database (CSDB). Currently, this module deposits free energy surface and conformer abundance maps plotted as a function of glycosidic torsions for 194 inter-residue bonds. Data are automatically and continuously derived from explicit-solvent molecular dynamics (MD) simulations. The module was also supplemented with high-temperature MD data of saccharides (2403 maps) provided by GlycoMapsDB (hosted by GLYCOSCIENCES.de project). Conformational data defined by up to four torsional degrees of freedom can be freely explored using a web interface of the module available at http://csdb.glycoscience.ru/database/core/search_conf.html.
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Affiliation(s)
- S I Scherbinina
- Higher Chemical College, D. Mendeleev University of Chemical Technology of Russia, Miusskaya Square 9, 125047 Moscow, Russia
| | - M Frank
- Biognos AB, Box 8963, 40274 Göteborg, Sweden
| | - P V Toukach
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
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13
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Truong S, Mootoo DR. C-Glycosylcrotylboronates for the Synthesis of Glycomimetics. Org Lett 2021; 24:191-195. [PMID: 34958591 DOI: 10.1021/acs.orglett.1c03845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The stereoselective synthesis of E- and Z- isomers of a C- mannosyl crotylpinacolboronate via Ni-promoted reactions on an allylic acetate and a diene precursor, respectively, is described. The E- and Z- isomers reacted with 1,2-O-isopropylidene glyceraldehyde in the presence or absence of (R)- and (S)- TRIP catalysts, to give predominantly 3,4-anti and 3,4-syn crotylation products, respectively, with moderate to high facial selectivity. These products were transformed to biologically relevant C-manno-disaccharides.
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Affiliation(s)
- Steven Truong
- Department of Chemistry, Hunter College, 695 Park Avenue, New York, New York 10065, United States.,The Graduate Center, CUNY, 365 Fifth Avenue, New York, New York 10016, United States
| | - David R Mootoo
- Department of Chemistry, Hunter College, 695 Park Avenue, New York, New York 10065, United States.,The Graduate Center, CUNY, 365 Fifth Avenue, New York, New York 10016, United States
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14
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Soares CO, Grosso AS, Ereño-Orbea J, Coelho H, Marcelo F. Molecular Recognition Insights of Sialic Acid Glycans by Distinct Receptors Unveiled by NMR and Molecular Modeling. Front Mol Biosci 2021; 8:727847. [PMID: 34869580 PMCID: PMC8634706 DOI: 10.3389/fmolb.2021.727847] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 10/01/2021] [Indexed: 11/13/2022] Open
Abstract
All cells are decorated with a highly dense and complex structure of glycan chains, which are mostly attached to proteins and lipids. In this context, sialic acids are a family of nine-carbon acidic monosaccharides typically found at the terminal position of glycan chains, modulating several physiological and pathological processes. Sialic acids have many structural and modulatory roles due to their negative charge and hydrophilicity. In addition, the recognition of sialic acid glycans by mammalian cell lectins, such as siglecs, has been described as an important immunological checkpoint. Furthermore, sialic acid glycans also play a pivotal role in host-pathogen interactions. Various pathogen receptors exposed on the surface of viruses and bacteria are responsible for the binding to sialic acid sugars located on the surface of host cells, becoming a critical point of contact in the infection process. Understanding the molecular mechanism of sialic acid glycans recognition by sialic acid-binding proteins, present on the surface of pathogens or human cells, is essential to realize the biological mechanism of these events and paves the way for the rational development of strategies to modulate sialic acid-protein interactions in diseases. In this perspective, nuclear magnetic resonance (NMR) spectroscopy, assisted with molecular modeling protocols, is a versatile and powerful technique to investigate the structural and dynamic aspects of glycoconjugates and their interactions in solution at the atomic level. NMR provides the corresponding ligand and protein epitopes, essential for designing and developing potential glycan-based therapies. In this review, we critically discuss the current state of knowledge about the structural features behind the molecular recognition of sialic acid glycans by different receptors, naturally present on human cells or pathogens, disclosed by NMR spectroscopy and molecular modeling protocols.
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Affiliation(s)
- Cátia Oliveira Soares
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.,Department of Chemistry, UCIBIO-Applied Molecular Biosciences Unit, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal
| | - Ana Sofia Grosso
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.,Department of Chemistry, UCIBIO-Applied Molecular Biosciences Unit, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal
| | - June Ereño-Orbea
- CIC bioGUNE, Basque Research and Technology Alliance, Bizkaia Technology Park, Bilbao, Spain.,Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Helena Coelho
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.,Department of Chemistry, UCIBIO-Applied Molecular Biosciences Unit, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal
| | - Filipa Marcelo
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.,Department of Chemistry, UCIBIO-Applied Molecular Biosciences Unit, NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal
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15
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Shao C, Feng Z, Westbrook JD, Peisach E, Berrisford J, Ikegawa Y, Kurisu G, Velankar S, Burley SK, Young JY. Modernized uniform representation of carbohydrate molecules in the Protein Data Bank. Glycobiology 2021; 31:1204-1218. [PMID: 33978738 PMCID: PMC8457362 DOI: 10.1093/glycob/cwab039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/05/2021] [Accepted: 04/25/2021] [Indexed: 12/12/2022] Open
Abstract
Since 1971, the Protein Data Bank (PDB) has served as the single global archive for experimentally determined 3D structures of biological macromolecules made freely available to the global community according to the FAIR principles of Findability-Accessibility-Interoperability-Reusability. During the first 50 years of continuous PDB operations, standards for data representation have evolved to better represent rich and complex biological phenomena. Carbohydrate molecules present in more than 14,000 PDB structures have recently been reviewed and remediated to conform to a new standardized format. This machine-readable data representation for carbohydrates occurring in the PDB structures and the corresponding reference data improves the findability, accessibility, interoperability and reusability of structural information pertaining to these molecules. The PDB Exchange MacroMolecular Crystallographic Information File data dictionary now supports (i) standardized atom nomenclature that conforms to International Union of Pure and Applied Chemistry-International Union of Biochemistry and Molecular Biology (IUPAC-IUBMB) recommendations for carbohydrates, (ii) uniform representation of branched entities for oligosaccharides, (iii) commonly used linear descriptors of carbohydrates developed by the glycoscience community and (iv) annotation of glycosylation sites in proteins. For the first time, carbohydrates in PDB structures are consistently represented as collections of standardized monosaccharides, which precisely describe oligosaccharide structures and enable improved carbohydrate visualization, structure validation, robust quantitative and qualitative analyses, search for dendritic structures and classification. The uniform representation of carbohydrate molecules in the PDB described herein will facilitate broader usage of the resource by the glycoscience community and researchers studying glycoproteins.
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Affiliation(s)
- Chenghua Shao
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Zukang Feng
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Ezra Peisach
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - John Berrisford
- Protein Data Bank in Europe (PDBe), European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Yasuyo Ikegawa
- Protein Data Bank Japan (PDBj), Institute for Protein Research, Osaka University, Osaka 565-0871, Japan
| | - Genji Kurisu
- Protein Data Bank Japan (PDBj), Institute for Protein Research, Osaka University, Osaka 565-0871, Japan
| | - Sameer Velankar
- Protein Data Bank in Europe (PDBe), European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, San Diego, CA 92093, USA
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jasmine Y Young
- Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
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16
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Joosten RP, Nicholls RA, Agirre J. Towards consistency in geometry restraints for carbohydrates in the pyranose form: modern dictionary generators reviewed. Curr Med Chem 2021; 29:1193-1207. [PMID: 34477506 PMCID: PMC7612510 DOI: 10.2174/0929867328666210902140754] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/03/2021] [Accepted: 08/07/2021] [Indexed: 11/23/2022]
Abstract
Macromolecular restrained refinement is nowadays the most used method for improving the agreement between an atomic structural model and experimental data. Restraint dictionaries, a key tool behind the success of the method, allow fine-tuning geometric properties such as distances and angles between atoms beyond simplistic expectations. Dictionary generators can provide restraint target estimates derived from different sources, from fully theoretical to experimental and any combination in between. Carbohydrates are stereochemically complex biomolecules and, in their pyranose form, have clear conformational preferences. As such, they pose unique problems to dictionary generators and in the course of this study, require special attention from software developers. Functional differences between restraint generators will be discussed, as well as the process of achieving consistent results with different software designs. The study will conclude a set of practical considerations, as well as recommendations for the generation of new restraint dictionaries, using the improved software alternatives discussed.
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Affiliation(s)
- Robbie P Joosten
- Oncode Institute and Division of Biochemistry, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam. Netherlands
| | - Robert A Nicholls
- Structural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH. United Kingdom
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, YO10 5DD. United Kingdom
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17
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Kumar S, Lin X, Ngo T, Shapero B, Sou C, Allen JD, Copps J, Zhang L, Ozorowski G, He L, Crispin M, Ward AB, Wilson IA, Zhu J. Neutralizing Antibodies Induced by First-Generation gp41-Stabilized HIV-1 Envelope Trimers and Nanoparticles. mBio 2021; 12:e0042921. [PMID: 34156262 PMCID: PMC8262854 DOI: 10.1128/mbio.00429-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/25/2021] [Indexed: 12/24/2022] Open
Abstract
The immunogenicity of gp41-stabilized HIV-1 BG505 envelope (Env) trimers and nanoparticles (NPs) was recently assessed in mice and rabbits. Here, we combined Env-specific B-cell sorting and repertoire sequencing to identify neutralizing antibodies (NAbs) from immunized animals. A panel of mouse NAbs was isolated from mice immunized with a 60-meric I3-01 NP presenting 20 stabilized trimers. Three mouse NAbs potently neutralized BG505.T332N by recognizing a glycan epitope centered in the C3/V4 region on BG505 Env, as revealed by electron microscopy (EM), X-ray crystallography, and epitope mapping. A set of rabbit NAbs was isolated from rabbits immunized with a soluble trimer and a 24-meric ferritin NP presenting 8 trimers. Neutralization assays against BG505.T332N variants confirmed that potent rabbit NAbs targeted previously described glycan holes on BG505 Env and accounted for a significant portion of the autologous NAb response in both the trimer and ferritin NP groups. Last, we examined NAb responses that were induced by non-BG505 Env immunogens. We determined a 3.4-Å-resolution crystal structure for the clade C transmitted/founder (T/F) Du172.17 Env with a redesigned heptad repeat 1 (HR1) bend in gp41. This clade C Env, in a soluble trimer form and in a multivalent form with 8 trimers attached to ferritin NP, and the gp41-stabilized clade A Q482-d12 Env trimer elicited distinct NAb responses in rabbits, with notable differences in neutralization breadth. Although eliciting a broad NAb response remains a major challenge, our study provides valuable information on an HIV-1 vaccine design strategy that combines gp41 stabilization and NP display. IMPORTANCE Self-assembling protein nanoparticles (NPs) presenting BG505 envelope (Env) trimers can elicit tier 2 HIV-1-neutralizing antibody (NAb) responses more effectively than soluble trimers. In the present study, monoclonal NAbs were isolated from previously immunized mice and rabbits for structural and functional analyses, which revealed that potent mouse NAbs recognize the C3/V4 region and small NP-elicited rabbit NAbs primarily target known glycan holes on BG505 Env. This study validates the gp41 stabilization strategy for HIV-1 Env vaccine design and highlights the challenge in eliciting a broad NAb response.
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Affiliation(s)
- Sonu Kumar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, California, USA
| | - Xiaohe Lin
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Timothy Ngo
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Benjamin Shapero
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Cindy Sou
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Joel D. Allen
- School of Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Jeffrey Copps
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Lei Zhang
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Gabriel Ozorowski
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, California, USA
| | - Linling He
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Andrew B. Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, California, USA
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, California, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, California, USA
- Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California, USA
| | - Jiang Zhu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, USA
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18
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Meelua W, Wanjai T, Thinkumrob N, Oláh J, Mujika JI, Ketudat-Cairns JR, Hannongbua S, Jitonnom J. Active site dynamics and catalytic mechanism in arabinan hydrolysis catalyzed by GH43 endo-arabinanase from QM/MM molecular dynamics simulation and potential energy surface. J Biomol Struct Dyn 2021; 40:7439-7449. [PMID: 33715601 DOI: 10.1080/07391102.2021.1898469] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The endo-1,5-α-L-arabinanases, belonging to glycoside hydrolase family 43 (GH43), catalyse the hydrolysis of α-1,5-arabinofuranosidic bonds in arabinose-containing polysaccharides. These enzymes are proposed targets for industrial and medical applications. Here, molecular dynamics (MD), potential energy surface and free energy (potential of mean force) simulations are undertaken using hybrid quantum mechanical/molecular mechanical (QM/MM) potentials to understand the active site dynamics, catalytic mechanism and the electrostatic influence of active site residues of the GH43 endo-arabinanase from G. stearothermophilus. The calculated results give support to the single-displacement mechanism proposed for the inverting GH43 enzymes: first a proton is transferred from the general acid E201 to the substrate, followed by a nucleophilic attack by water, activated by the general base D27, on the anomer carbon. A conformational change (2E ↔E3 ↔ 4E) in the -1 sugar ring is observed involving a transition state featuring an oxocarbenium ion character. Residues D87, K106, H271 are highlighted as potential targets for future mutation experiments in order to increase the efficiency of the reaction. To our knowledge, this is the first QM/MM study providing molecular insights into the glycosidic bond hydrolysis of a furanoside substrate by an inverting GH in solution.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Wijitra Meelua
- Demonstration School, University of Phayao, Phayao, Thailand.,Division of Chemistry, School of Science, University of Phayao, Phayao, Thailand
| | | | | | - Julianna Oláh
- Department of Inorganic and Analytical Chemistry, Budapest University of Technology and Economics, Budapest, Hungary
| | - Jon I Mujika
- Kimika Fakultatea, Euskal Herriko Unibertsitatea UPV/EHU, and Donostia International Physics Center (DIPC), Donostia, Euskadi, Spain
| | - James R Ketudat-Cairns
- Center for Biomolecular Structure, Function and Application, Suranaree University of Technology, Nakhon Ratchasima, Thailand
| | - Supa Hannongbua
- Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand
| | - Jitrayut Jitonnom
- Division of Chemistry, School of Science, University of Phayao, Phayao, Thailand
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19
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Peesapati S, Sajeevan KA, Patel SK, Roy D. Relation between glycosidic linkage, structure and dynamics of α- and β-glucans in water. Biopolymers 2021; 112:e23423. [PMID: 33572006 DOI: 10.1002/bip.23423] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 01/16/2021] [Accepted: 01/21/2021] [Indexed: 11/09/2022]
Abstract
In a molecular dynamics simulation study of several oligosaccharides comprising of the very basic building block of carbohydrate, the α- or β-d glucopyranose units, linked by any one of the 1-3/1-4 or 1-6 glycosidic linkages, we compare and contrast their structural and dynamical properties. Results indicate that the litheness of the oligosaccharide chain is noticeably controlled by the composition, anomeric nature and glycosidic linkage type of the units. In mixed β 1-4/1-3 d-glucopyranosides, as those found in oats and barley, the ratio of the β 1-4 and β 1-3 linked residues is crucial in determining the structural and dynamical attributes. Principal component analysis (PCA) using the internal coordinates of torsion angles subtended by glycosidic oxygen atoms and subsequent K-means clustering of the dynamical space spanned by PC1 to PC2 point to the dynamical and structural disparity in the various types of oligosaccharides studied. The properties simulated in this work are meant to provide a systematic yet comparative understanding of the importance of linkage and anomericity on the oligosaccharide chain properties and are in line with some experimental structural attributes.
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Affiliation(s)
- Sruthi Peesapati
- Department of Chemistry, Birla Institute of Technology and Science- Pilani, Hyderabad, Telangana, India
| | - Karuna Anna Sajeevan
- Department of Chemistry, Birla Institute of Technology and Science- Pilani, Hyderabad, Telangana, India
| | - Siddhant Kumar Patel
- Department of Chemistry, Birla Institute of Technology and Science- Pilani, Hyderabad, Telangana, India
| | - Durba Roy
- Department of Chemistry, Birla Institute of Technology and Science- Pilani, Hyderabad, Telangana, India
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20
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Schnitzler A, Niefind K. Structural basis for the design of bisubstrate inhibitors of protein kinase CK2 provided by complex structures with the substrate-competitive inhibitor heparin. Eur J Med Chem 2021; 214:113223. [PMID: 33571828 DOI: 10.1016/j.ejmech.2021.113223] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/20/2021] [Accepted: 01/20/2021] [Indexed: 12/27/2022]
Abstract
The Ser/Thr kinase CK2, a member of the superfamily of eukaryotic protein kinases, has an acidophilic substrate profile with the substrate recognition sequence S/T-D/E-X-D/E, and it is inhibited by polyanionic substances like heparin. The latter, a highly sulphated glucosamino glycan composed mainly of repeating 2-O-sulpho-α-l-idopyranuronic acid/N,O6-disulpho-α-d-glucosamine disaccharide units, is the longest known substrate-competitive CK2 inhibitor. The structural basis of CK2's preference for anionic substrates and substrate-competitive inhibitors is only vaguely known which limits the value of the substrate-binding region for the structure-based development of CK2 bisubstrate inhibitors. Here, a tetragonal and a monoclinic co-crystal structure of CK2α, the catalytic subunit of CK2, with a decameric heparin fragment are described. In the tetragonal structure, the heparin molecule binds to the polybasic stretch at the beginning of CK2α's helix αC, whereas in the monoclinic structure it occupies the central substrate-recognition region around the P+1 loop. Together, the structures rationalize the inhibitory efficacy of heparin fragments as a function of chain length. The monoclinic CK2α/heparin structure, in which the heparin fragment is particularly well defined, is the first CK2 structure with an anionic inhibitor of considerable size at the central part of the substrate-recognition site. The bound heparin fragment is so close to the binding site of ATP-competitive inhibitors that it can guide the design of linkers and pave the way to efficient CK2 bisubstrate inhibitors in the future.
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Affiliation(s)
- Alexander Schnitzler
- Universität zu Köln, Department für Chemie, Institut für Biochemie, Zülpicher Straße 47, D-50674 Köln, Germany
| | - Karsten Niefind
- Universität zu Köln, Department für Chemie, Institut für Biochemie, Zülpicher Straße 47, D-50674 Köln, Germany.
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21
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Zhang S, Chen KY, Zou X. Carbohydrate-Protein Interactions: Advances and Challenges. COMMUNICATIONS IN INFORMATION AND SYSTEMS 2021; 21:147-163. [PMID: 34366717 DOI: 10.4310/cis.2021.v21.n1.a7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
A carbohydrate, also called saccharide in biochemistry, is a biomolecule consisting of carbon (C), hydrogen (H) and oxygen (O) atoms. For example, sugars are low molecular-weight carbohydrates, and starches are high molecular-weight carbohydrates. Carbohydrates are the most abundant organic substances in nature and essential constituents of all living things. Protein-carbohydrate interactions play important roles in many biological processes, such as cell growth, differentiation, and aggregation. They also have broad applications in pharmaceutical drug design. In this review, we will summarize the characteristic features of protein-carbohydrate interactions and review the computational methods for structure prediction, energy calculations, and kinetic studies of protein-carbohydrate complexes. Finally, we will discuss the challenges in this field.
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Affiliation(s)
- Shuang Zhang
- Dalton Cardiovascular Research Center, Department of Physics and Astronomy, Department of Biochemistry, Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Kyle Yu Chen
- Rock Bridge High School, 4303 South Providence Rd, Columbia, MO 65203, USA
| | - Xiaoqin Zou
- Dalton Cardiovascular Research Center, Department of Physics and Astronomy, Department of Biochemistry, Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65211, USA
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22
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Boittier ED, Burns JM, Gandhi NS, Ferro V. GlycoTorch Vina: Docking Designed and Tested for Glycosaminoglycans. J Chem Inf Model 2020; 60:6328-6343. [PMID: 33152249 DOI: 10.1021/acs.jcim.0c00373] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Glycosaminoglycans (GAGs) are a family of anionic carbohydrates that play an essential role in the physiology and pathology of all eukaryotic life forms. Experimental determination of GAG-protein complexes is challenging due to their difficult isolation from biological sources, natural heterogeneity, and conformational flexibility-including possible ring puckering of sulfated iduronic acid from 1C4 to 2SO conformation. To overcome these challenges, we present GlycoTorch Vina (GTV), a molecular docking tool based on the carbohydrate docking program VinaCarb (VC). Our program is unique in that it contains parameters to model 2SO sugars while also supporting glycosidic linkages specific to GAGs. We discuss how crystallographic models of carbohydrates can be biased by the choice of refinement software and structural dictionaries. To overcome these variations, we carefully curated 12 of the best available GAG and GAG-like crystal structures (ranging from tetra- to octasaccharides or longer) obtained from the PDB-REDO server and refined using the same protocol. Both GTV and VC produced pose predictions with a mean root-mean-square deviation (RMSD) of 3.1 Å from the native crystal structure-a statistically significant improvement when compared to AutoDock Vina (4.5 Å) and the commercial software Glide (5.9 Å). Examples of how real-space correlation coefficients can be used to better assess the accuracy of docking pose predictions are given. Comparisons between statistical distributions of empirical "salt bridge" interactions, relevant to GAGs, were compared to density functional theory (DFT) studies of model salt bridges, and water-mediated salt bridges; however, there was generally a poor agreement between these data. Water bridges appear to play an important, yet poorly understood, role in the structures of GAG-protein complexes. To aid in the rapid prototyping of future pose scoring functions, we include a module that allows users to include their own torsional and nonbonded parameters.
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Affiliation(s)
- Eric D Boittier
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Jed M Burns
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Neha S Gandhi
- Chemistry and Physics, Centre for Genomics and Personalised Health, Faculty of Science and Engineering, Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Vito Ferro
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia.,Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, Queensland 4072, Australia
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23
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Scherbinina SI, Toukach PV. Three-Dimensional Structures of Carbohydrates and Where to Find Them. Int J Mol Sci 2020; 21:E7702. [PMID: 33081008 PMCID: PMC7593929 DOI: 10.3390/ijms21207702] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 02/06/2023] Open
Abstract
Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed.
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Affiliation(s)
- Sofya I. Scherbinina
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
- Higher Chemical College, D. Mendeleev University of Chemical Technology of Russia, Miusskaya Square 9, 125047 Moscow, Russia
| | - Philip V. Toukach
- N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Science, Leninsky prospect 47, 119991 Moscow, Russia
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24
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Bagdonas H, Ungar D, Agirre J. Leveraging glycomics data in glycoprotein 3D structure validation with Privateer. Beilstein J Org Chem 2020; 16:2523-2533. [PMID: 33093930 PMCID: PMC7554661 DOI: 10.3762/bjoc.16.204] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 10/06/2020] [Indexed: 12/20/2022] Open
Abstract
The heterogeneity, mobility and complexity of glycans in glycoproteins have been, and currently remain, significant challenges in structural biology. These aspects present unique problems to the two most prolific techniques: X-ray crystallography and cryo-electron microscopy. At the same time, advances in mass spectrometry have made it possible to get deeper insights on precisely the information that is most difficult to recover by structure solution methods: the full-length glycan composition, including linkage details for the glycosidic bonds. The developments have given rise to glycomics. Thankfully, several large scale glycomics initiatives have stored results in publicly available databases, some of which can be accessed through API interfaces. In the present work, we will describe how the Privateer carbohydrate structure validation software has been extended to harness results from glycomics projects, and its use to greatly improve the validation of 3D glycoprotein structures.
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Affiliation(s)
- Haroldas Bagdonas
- York Structural Biology Laboratory, Department of Chemistry, University of York, Wentworth Way, York, YO10 5DD, UK
| | - Daniel Ungar
- Department of Biology, University of York, Wentworth Way, York, YO10 5DD, UK
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, Wentworth Way, York, YO10 5DD, UK
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25
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Kumar S, Ju B, Shapero B, Lin X, Ren L, Zhang L, Li D, Zhou Z, Feng Y, Sou C, Mann CJ, Hao Y, Sarkar A, Hou J, Nunnally C, Hong K, Wang S, Ge X, Su B, Landais E, Sok D, Zwick MB, He L, Zhu J, Wilson IA, Shao Y. A V H1-69 antibody lineage from an infected Chinese donor potently neutralizes HIV-1 by targeting the V3 glycan supersite. SCIENCE ADVANCES 2020; 6:eabb1328. [PMID: 32938661 PMCID: PMC7494343 DOI: 10.1126/sciadv.abb1328] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 07/31/2020] [Indexed: 05/03/2023]
Abstract
An oligomannose patch around the V3 base of HIV-1 envelope glycoprotein (Env) is recognized by multiple classes of broadly neutralizing antibodies (bNAbs). Here, we investigated the bNAb response to the V3 glycan supersite in an HIV-1-infected Chinese donor by Env-specific single B cell sorting, structural and functional studies, and longitudinal analysis of antibody and virus repertoires. Monoclonal antibodies 438-B11 and 438-D5 were isolated that potently neutralize HIV-1 with moderate breadth, are encoded by the VH1-69 germline gene, and have a disulfide-linked long HCDR3 loop. Crystal structures of Env-bound and unbound antibodies revealed heavy chain-mediated recognition of the glycan supersite with a unique angle of approach and a critical role of the intra-HCDR3 disulfide. The mechanism of viral escape was examined via single-genome amplification/sequencing and glycan mutations around the N332 supersite. Our findings further emphasize the V3 glycan supersite as a prominent target for Env-based vaccine design.
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Affiliation(s)
- Sonu Kumar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Bin Ju
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
- School of Medicine, Nankai University, Nankai District, Tianjin 300071, China
| | - Benjamin Shapero
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xiaohe Lin
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Li Ren
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Lei Zhang
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Dan Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Zehua Zhou
- School of Medicine, Nankai University, Nankai District, Tianjin 300071, China
| | - Yi Feng
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Cindy Sou
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Colin J Mann
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yanling Hao
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Anita Sarkar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jiali Hou
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Christian Nunnally
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kunxue Hong
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Shuo Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Xiangyang Ge
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China
| | - Bin Su
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province 230601, China
| | - Elise Landais
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- International AIDS Vaccine Initiative, New York, NY 10004, USA
| | - Devin Sok
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- International AIDS Vaccine Initiative, New York, NY 10004, USA
| | - Michael B Zwick
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Linling He
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jiang Zhu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
- Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yiming Shao
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Changping District, Beijing 102206, China.
- School of Medicine, Nankai University, Nankai District, Tianjin 300071, China
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou 310003, China
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26
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Atanasova M, Bagdonas H, Agirre J. Structural glycobiology in the age of electron cryo-microscopy. Curr Opin Struct Biol 2020; 62:70-78. [DOI: 10.1016/j.sbi.2019.12.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/20/2019] [Accepted: 12/02/2019] [Indexed: 01/05/2023]
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27
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Casañal A, Lohkamp B, Emsley P. Current developments in Coot for macromolecular model building of Electron Cryo-microscopy and Crystallographic Data. Protein Sci 2020; 29:1069-1078. [PMID: 31730249 PMCID: PMC7096722 DOI: 10.1002/pro.3791] [Citation(s) in RCA: 377] [Impact Index Per Article: 94.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 11/13/2019] [Accepted: 11/14/2019] [Indexed: 12/20/2022]
Abstract
Coot is a tool widely used for model building, refinement, and validation of macromolecular structures. It has been extensively used for crystallography and, more recently, improvements have been introduced to aid in cryo‐EM model building and refinement, as cryo‐EM structures with resolution ranging 2.5–4 A are now routinely available. Model building into these maps can be time‐consuming and requires experience in both biochemistry and building into low‐resolution maps. To simplify and expedite the model building task, and minimize the needed expertise, new tools are being added in Coot. Some examples include morphing, Geman‐McClure restraints, full‐chain refinement, and Fourier‐model based residue‐type‐specific Ramachandran restraints. Here, we present the current state‐of‐the‐art in Coot usage.
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Affiliation(s)
- Ana Casañal
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Bernhard Lohkamp
- Division of Molecular Structural Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Emsley
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
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28
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Crystal Structure of a GH3 β-Glucosidase from the Thermophilic Fungus Chaetomium thermophilum. Int J Mol Sci 2019; 20:ijms20235962. [PMID: 31783503 PMCID: PMC6929035 DOI: 10.3390/ijms20235962] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 11/20/2019] [Accepted: 11/25/2019] [Indexed: 11/17/2022] Open
Abstract
Beta-glucosidases (β-glucosidases) have attracted considerable attention in recent years for use in various biotechnological applications. They are also essential enzymes for lignocellulose degradation in biofuel production. However, cost-effective biomass conversion requires the use of highly efficient enzymes. Thus, the search for new enzymes as better alternatives of the currently available enzyme preparations is highly important. Thermophilic fungi are nowadays considered as a promising source of enzymes with improved stability. Here, the crystal structure of a family GH3 β-glucosidase from the thermophilic fungus Chaetomium thermophilum (CtBGL) was determined at a resolution of 2.99 Å. The structure showed the three-domain architecture found in other β-glucosidases with variations in loops and linker regions. The active site catalytic residues in CtBGL were identified as Asp287 (nucleophile) and Glu517 (acid/base). Structural comparison of CtBGL with Protein Data Bank (PDB)-deposited structures revealed variations among glycosylated Asn residues. The enzyme displayed moderate glycosylation compared to other GH3 family β-glucosidases with similar structure. A new glycosylation site at position Asn504 was identified in CtBGL. Moreover, comparison with respect to several thermostability parameters suggested that glycosylation and charged residues involved in electrostatic interactions may contribute to the stability of the enzyme at elevated temperatures. The reported CtBGL structure provides additional insights into the family GH3 enzymes and could offer new ideas for further improvements in β-glucosidases for more efficient use in biotechnological applications regarding cellulose degradation.
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29
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Ji S, Dix SR, Aziz AA, Sedelnikova SE, Baker PJ, Rafferty JB, Bullough PA, Tzokov SB, Agirre J, Li FL, Rice DW. The molecular basis of endolytic activity of a multidomain alginate lyase from Defluviitalea phaphyphila, a representative of a new lyase family, PL39. J Biol Chem 2019; 294:18077-18091. [PMID: 31624143 DOI: 10.1074/jbc.ra119.010716] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 10/07/2019] [Indexed: 12/22/2022] Open
Abstract
Alginate is a polymer containing two uronic acid epimers, β-d-mannuronate (M) and α-l-guluronate (G), and is a major component of brown seaweed that is depolymerized by alginate lyases. These enzymes have diverse specificity, cleaving the chain with endo- or exotype activity and with differential selectivity for the sequence of M or G at the cleavage site. Dp0100 is a 201-kDa multimodular, broad-specificity endotype alginate lyase from the marine thermophile Defluviitalea phaphyphila, which uses brown algae as a carbon source, converting it to ethanol, and bioinformatics analysis suggested that its catalytic domain represents a new polysaccharide lyase family, PL39. The structure of the Dp0100 catalytic domain, determined at 2.07 Å resolution, revealed that it comprises three regions strongly resembling those of the exotype lyase families PL15 and PL17. The conservation of key catalytic histidine and tyrosine residues belonging to the latter suggests these enzymes share mechanistic similarities. A complex of Dp0100 with a pentasaccharide, M5, showed that the oligosaccharide is located in subsites -2, -1, +1, +2, and +3 in a long, deep canyon open at both ends, explaining the endotype activity of this lyase. This contrasted with the hindered binding sites of the exotype enzymes, which are blocked such that only one sugar moiety can be accommodated at the -1 position in the catalytic site. The biochemical and structural analyses of Dp0100, the first for this new class of endotype alginate lyases, have furthered our understanding of the structure-function and evolutionary relationships within this important class of enzymes.
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Affiliation(s)
- Shiqi Ji
- Shandong Provincial Key Laboratory of Energy Genetics, Key Laboratory of Biofuel, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 189 Songling Road, 266101 Qingdao, China
| | - Samuel R Dix
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Adli A Aziz
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Svetlana E Sedelnikova
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Patrick J Baker
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - John B Rafferty
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Per A Bullough
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Svetomir B Tzokov
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom
| | - Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, Heslington YO10 5DD, York, United Kingdom
| | - Fu-Li Li
- Shandong Provincial Key Laboratory of Energy Genetics, Key Laboratory of Biofuel, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 189 Songling Road, 266101 Qingdao, China
| | - David W Rice
- Krebs Institute for Biomolecular Research, Department of Molecular Biology and Biotechnology, University of Sheffield, Firth Court, Western Bank, S10 2TN Sheffield, United Kingdom.
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30
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Valverde P, Quintana JI, Santos JI, Ardá A, Jiménez-Barbero J. Novel NMR Avenues to Explore the Conformation and Interactions of Glycans. ACS OMEGA 2019; 4:13618-13630. [PMID: 31497679 PMCID: PMC6714940 DOI: 10.1021/acsomega.9b01901] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/02/2019] [Indexed: 05/12/2023]
Abstract
This perspective article is focused on the presentation of the latest advances in NMR methods and applications that are behind the exciting achievements in the understanding of glycan receptors in molecular recognition events. Different NMR-based methodologies are discussed along with their applications to scrutinize the conformation and dynamics of glycans as well as their interactions with protein receptors.
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Affiliation(s)
- Pablo Valverde
- CIC
bioGUNE, Bizkaia Technology
Park, Building 800, 48160 Derio, Bizkaia, Spain
| | - Jon I. Quintana
- CIC
bioGUNE, Bizkaia Technology
Park, Building 800, 48160 Derio, Bizkaia, Spain
| | - Jose I. Santos
- SGIker
UPV/EHU, Centro Joxe Mari Korta, Tolosa Hiribidea 72, 20018 Donostia, Spain
| | - Ana Ardá
- CIC
bioGUNE, Bizkaia Technology
Park, Building 800, 48160 Derio, Bizkaia, Spain
- E-mail: (A.A.)
| | - Jesús Jiménez-Barbero
- CIC
bioGUNE, Bizkaia Technology
Park, Building 800, 48160 Derio, Bizkaia, Spain
- Ikerbasque, Basque Foundation for Science, Maria Diaz de Haro 3, 48013 Bilbao, Spain
- Department
Organic Chemistry II, Faculty Science &
Technology, EHU-UPV, 48940 Leioa, Bizkaia, Spain
- E-mail: (J.J.-B.)
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31
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Taylor R, Wood PA. A Million Crystal Structures: The Whole Is Greater than the Sum of Its Parts. Chem Rev 2019; 119:9427-9477. [PMID: 31244003 DOI: 10.1021/acs.chemrev.9b00155] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The founding in 1965 of what is now called the Cambridge Structural Database (CSD) has reaped dividends in numerous and diverse areas of chemical research. Each of the million or so crystal structures in the database was solved for its own particular reason, but collected together, the structures can be reused to address a multitude of new problems. In this Review, which is focused mainly on the last 10 years, we chronicle the contribution of the CSD to research into molecular geometries, molecular interactions, and molecular assemblies and demonstrate its value in the design of biologically active molecules and the solid forms in which they are delivered. Its potential in other commercially relevant areas is described, including gas storage and delivery, thin films, and (opto)electronics. The CSD also aids the solution of new crystal structures. Because no scientific instrument is without shortcomings, the limitations of CSD research are assessed. We emphasize the importance of maintaining database quality: notwithstanding the arrival of big data and machine learning, it remains perilous to ignore the principle of garbage in, garbage out. Finally, we explain why the CSD must evolve with the world around it to ensure it remains fit for purpose in the years ahead.
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Affiliation(s)
- Robin Taylor
- Cambridge Crystallographic Data Centre , 12 Union Road , Cambridge CB2 1EZ , United Kingdom
| | - Peter A Wood
- Cambridge Crystallographic Data Centre , 12 Union Road , Cambridge CB2 1EZ , United Kingdom
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32
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van Beusekom B, Wezel N, Hekkelman ML, Perrakis A, Emsley P, Joosten RP. Building and rebuilding N-glycans in protein structure models. Acta Crystallogr D Struct Biol 2019; 75:416-425. [PMID: 30988258 PMCID: PMC6465985 DOI: 10.1107/s2059798319003875] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 03/20/2019] [Indexed: 01/16/2023] Open
Abstract
N-Glycosylation is one of the most common post-translational modifications and is implicated in, for example, protein folding and interaction with ligands and receptors. N-Glycosylation trees are complex structures of linked carbohydrate residues attached to asparagine residues. While carbohydrates are typically modeled in protein structures, they are often incomplete or have the wrong chemistry. Here, new tools are presented to automatically rebuild existing glycosylation trees, to extend them where possible, and to add new glycosylation trees if they are missing from the model. The method has been incorporated in the PDB-REDO pipeline and has been applied to build or rebuild 16 452 carbohydrate residues in 11 651 glycosylation trees in 4498 structure models, and is also available from the PDB-REDO web server. With better modeling of N-glycosylation, the biological function of this important modification can be better and more easily understood.
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Affiliation(s)
- Bart van Beusekom
- Department of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Natasja Wezel
- Department of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Maarten L. Hekkelman
- Department of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Anastassis Perrakis
- Department of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Paul Emsley
- MRC Laboratory for Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, England
| | - Robbie P. Joosten
- Department of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
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Kumar S, Sarkar A, Pugach P, Sanders RW, Moore JP, Ward AB, Wilson IA. Capturing the inherent structural dynamics of the HIV-1 envelope glycoprotein fusion peptide. Nat Commun 2019; 10:763. [PMID: 30770829 PMCID: PMC6377653 DOI: 10.1038/s41467-019-08738-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 01/25/2019] [Indexed: 02/04/2023] Open
Abstract
The N-terminal fusion peptide (FP) of the human immunodeficiency virus (HIV)-1 envelope glycoprotein (Env) gp41 subunit plays a critical role in cell entry. However, capturing the structural flexibility in the unbound FP is challenging in the native Env trimer. Here, FP conformational isomerism is observed in two crystal structures of a soluble clade B transmitted/founder virus B41 SOSIP.664 Env with broadly neutralizing antibodies (bNAbs) PGT124 and 35O22 to aid in crystallization and that are not specific for binding to the FP. Large rearrangements in the FP and fusion peptide proximal region occur around M530, which remains anchored in the tryptophan clasp (gp41 W623, W628, W631) in the B41 Env prefusion state. Further, we redesigned the FP at position 518 to reinstate the bNAb VRC34.01 epitope. These findings provide further structural evidence for the dynamic nature of the FP and how a bNAb epitope can be restored during vaccine design. The fusion peptide (FP) of HIV envelope (Env) is critical in the cell entry process. Here, Kumar et al. present crystal structures of B41 SOSIP.664 Env trimer and show the dynamic nature of the FP and proximal region, which likely relates to conformational rearrangements required for membrane fusion.
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Affiliation(s)
- Sonu Kumar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA.,IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Anita Sarkar
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA.,IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Pavel Pugach
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY 10065, USA
| | - Rogier W Sanders
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY 10065, USA.,Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - John P Moore
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY 10065, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA.,IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA. .,IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, 92037, USA. .,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA, 92037, USA. .,Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA.
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Frenz B, Rämisch S, Borst AJ, Walls AC, Adolf-Bryfogle J, Schief WR, Veesler D, DiMaio F. Automatically Fixing Errors in Glycoprotein Structures with Rosetta. Structure 2018; 27:134-139.e3. [PMID: 30344107 PMCID: PMC6616339 DOI: 10.1016/j.str.2018.09.006] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 05/15/2018] [Accepted: 09/18/2018] [Indexed: 12/16/2022]
Abstract
Recent advances in single-particle cryo-electron microscopy (cryoEM) have resulted in determination of an increasing number of protein structures with resolved glycans. However, existing protocols for the refinement of glycoproteins at low resolution have failed to keep up with these advances. As a result, numerous deposited structures contain glycan stereochemical errors. Here, we describe a Rosetta-based approach for both cryoEM and X-ray crystallography refinement of glycoproteins that is capable of correcting conformational and configurational errors in carbohydrates. Building upon a previous Rosetta framework, we introduced additional features and score terms enabling automatic detection, setup, and refinement of glycan-containing structures. We benchmarked this approach using 12 crystal structures and showed that glycan geometries can be automatically improved while maintaining good fit to the crystallographic data. Finally, we used this method to refine carbohydrates of the human coronavirus NL63 spike glycoprotein and of an HIV envelope glycoprotein, demonstrating its usefulness for cryoEM refinement. New method for refinement of carbohydrates with low-resolution electron density Improved physical geometry of glycans in protein structures Compatible with cryoEM and X-ray crystallography data
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Affiliation(s)
- Brandon Frenz
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Sebastian Rämisch
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Andrew J Borst
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Alexandra C Walls
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Jared Adolf-Bryfogle
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - William R Schief
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David Veesler
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Frank DiMaio
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
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Ardá A, Jiménez-Barbero J. The recognition of glycans by protein receptors. Insights from NMR spectroscopy. Chem Commun (Camb) 2018; 54:4761-4769. [PMID: 29662983 DOI: 10.1039/c8cc01444b] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Carbohydrates (glycans, saccharides, sugars) are everywhere. In fact, glycan-protein interactions are involved in many essential processes of life and disease. The understanding of the key structural details at the atomic and molecular level is of paramount importance to effectively design molecules for therapeutic purposes. Different approximations may be employed to decipher these molecular recognition processes with high resolution. Advances in cryo-electron microscopy are providing exquisite details on different biological mechanisms involving sugars, while better and better protocols for structural refinement in the application of X-ray methods for protein-sugar complexes and glycoproteins are also permitting fantastic advances in the glycoscience arena. Alternatively, NMR spectroscopy remains as one of the most rewarding techniques to explore protein-carbohydrate interactions. In fact, given the intrinsic dynamic nature of saccharides, NMR can afford exquisite structural information at the atomic detail, not accessible by other techniques. However, the access to this information is sometimes intricate, and requires careful analysis and well-defined strategies. In this review, we have highlighted these issues and presented an overview of different modern NMR approaches with a focus on the latest developments and challenges.
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Affiliation(s)
- Ana Ardá
- CIC bioGUNE, Bizkaia Technology Park, 48160 Derio, Spain.
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36
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Hochscherf J, Pietsch M, Tieu W, Kuan K, Abell AD, Gütschow M, Niefind K. Crystal structure of highly glycosylated human leukocyte elastase in complex with an S2' site binding inhibitor. Acta Crystallogr F Struct Biol Commun 2018; 74:480-489. [PMID: 30084397 PMCID: PMC6096481 DOI: 10.1107/s2053230x1800537x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 04/05/2018] [Indexed: 11/10/2022] Open
Abstract
Glycosylated human leukocyte elastase (HLE) was crystallized and structurally analysed in complex with a 1,3-thiazolidine-2,4-dione derivative that had been identified as an HLE inhibitor in preliminary studies. In contrast to previously described HLE structures with small-molecule inhibitors, in this structure the inhibitor does not bind to the S1 and S2 substrate-recognition sites; rather, this is the first HLE structure with a synthetic inhibitor in which the S2' site is blocked that normally binds the second side chain at the C-terminal side of the scissile peptide bond in a substrate protein. The inhibitor also induces the formation of crystalline HLE dimers that block access to the active sites and that are also predicted to be stable in solution. Neither such HLE dimers nor the corresponding crystal packing have been observed in previous HLE crystal structures. This novel crystalline environment contributes to the observation that comparatively large parts of the N-glycan chains of HLE are defined by electron density. The final HLE structure contains the largest structurally defined carbohydrate trees among currently available HLE structures.
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Affiliation(s)
- Jennifer Hochscherf
- Department of Chemistry, Institute of Biochemistry, Universität zu Köln, Zülpicher Str. 47, 50674 Cologne, Germany
| | - Markus Pietsch
- Centre of Pharmacology, Medical Faculty, Universität zu Köln, Gleueler Str. 24, 50931 Cologne, Germany
| | - William Tieu
- Department of Chemistry and Centre for Nanoscale BioPhotonics (CNBP), The University of Adelaide, North Terrace, Adelaide 5005, Australia
| | - Kevin Kuan
- Department of Chemistry and Centre for Nanoscale BioPhotonics (CNBP), The University of Adelaide, North Terrace, Adelaide 5005, Australia
| | - Andrew D. Abell
- Department of Chemistry and Centre for Nanoscale BioPhotonics (CNBP), The University of Adelaide, North Terrace, Adelaide 5005, Australia
| | - Michael Gütschow
- Pharmaceutical Institute, Pharmaceutical Chemistry I, Rheinische Friedrich-Wilhelms-Universität Bonn, An der Immenburg 4, 53121 Bonn, Germany
| | - Karsten Niefind
- Department of Chemistry, Institute of Biochemistry, Universität zu Köln, Zülpicher Str. 47, 50674 Cologne, Germany
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Agirre J, van Raaij MJ. Carbohydrate structure hits the groove. Acta Crystallogr F Struct Biol Commun 2018; 74:441-442. [PMID: 30084392 PMCID: PMC6096480 DOI: 10.1107/s2053230x18010853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
An introduction to the Acta Cryst. F special issue on glycoproteins and protein–carbohydrate complexes in which the contents, the current state of the field and the future of glycan structural biology are briefly discussed.
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Affiliation(s)
- Jon Agirre
- York Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5DD, UK
| | - Mark J. van Raaij
- Department of Molecular Structure, Centro Nacional de Biotecnologia, Consejo Superior de Investigaciones Cientificas, E-28049 Madrid, Spain
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38
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Taube S, Mallagaray A, Peters T. Norovirus, glycans and attachment. Curr Opin Virol 2018; 31:33-42. [DOI: 10.1016/j.coviro.2018.04.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 04/23/2018] [Accepted: 04/26/2018] [Indexed: 10/16/2022]
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Emsley P, Crispin M. Structural analysis of glycoproteins: building N-linked glycans with Coot. Acta Crystallogr D Struct Biol 2018; 74:256-263. [PMID: 29652253 PMCID: PMC5892875 DOI: 10.1107/s2059798318005119] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 03/29/2018] [Indexed: 12/22/2022] Open
Abstract
Coot is a graphics application that is used to build or manipulate macromolecular models; its particular forte is manipulation of the model at the residue level. The model-building tools of Coot have been combined and extended to assist or automate the building of N-linked glycans. The model is built by the addition of monosaccharides, placed by variation of internal coordinates. The subsequent model is refined by real-space refinement, which is stabilized with modified and additional restraints. It is hoped that these enhanced building tools will help to reduce building errors of N-linked glycans and improve our knowledge of the structures of glycoproteins.
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Affiliation(s)
- Paul Emsley
- MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, England
| | - Max Crispin
- Centre for Biological Sciences and the Institute for Life Sciences, University of Southampton, Southampton SO17 1BJ, England
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40
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Gristick HB, Wang H, Bjorkman PJ. X-ray and EM structures of a natively glycosylated HIV-1 envelope trimer. Acta Crystallogr D Struct Biol 2017; 73:822-828. [PMID: 28994411 PMCID: PMC5633907 DOI: 10.1107/s2059798317013353] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 09/19/2017] [Indexed: 12/19/2022] Open
Abstract
The structural and biochemical characterization of broadly neutralizing anti-HIV-1 antibodies (bNAbs) has been essential in guiding the design of potential vaccines to prevent infection by HIV-1. While these studies have revealed critical mechanisms by which bNAbs recognize and/or accommodate N-glycans on the trimeric envelope glycoprotein (Env), they have been limited to the visualization of high-mannose glycan forms only, since heterogeneity introduced from the presence of complex glycans makes it difficult to obtain high-resolution structures. 3.5 and 3.9 Å resolution crystal structures of the HIV-1 Env trimer with fully processed and native glycosylation were solved, revealing a glycan shield of high-mannose and complex-type N-glycans that were used to define the complete epitopes of two bNAbs. Here, the refinement of the N-glycans in the crystal structures is discussed and comparisons are made with glycan densities in glycosylated Env structures derived by single-particle cryo-electron microscopy.
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Affiliation(s)
- Harry B. Gristick
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Haoqing Wang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Pamela J. Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
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Steiner RA, Tucker JA. Keep it together: restraints in crystallographic refinement of macromolecule-ligand complexes. Acta Crystallogr D Struct Biol 2017; 73:93-102. [PMID: 28177305 PMCID: PMC5297912 DOI: 10.1107/s2059798316017964] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 11/08/2016] [Indexed: 01/23/2023] Open
Abstract
A short introduction is provided to the concept of restraints in macromolecular crystallographic refinement. A typical ligand restraint-generation process is then described, covering types of input, the methodology and the mechanics behind the software in general terms, how this has evolved over recent years and what to look for in the output. Finally, the currently available restraint-generation software is compared, concluding with some thoughts for the future.
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Affiliation(s)
- Roberto A. Steiner
- Randall Division of Cell and Molecular Biophysics, King’s College London, London SE1 1UL, England
| | - Julie A. Tucker
- Northern Institute for Cancer Research, Paul O’Gorman Building, Medical School, Newcastle University, Framlington Place, Newcastle-upon-Tyne NE2 4HH, England
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Abstract
Crystal structures of protein-ligand complexes are often used to infer biology and inform structure-based drug discovery. Hence, it is important to build accurate, reliable models of ligands that give confidence in the interpretation of the respective protein-ligand complex. This paper discusses key stages in the ligand-fitting process, including ligand binding-site identification, ligand description and conformer generation, ligand fitting, refinement and subsequent validation. The CCP4 suite contains a number of software tools that facilitate this task: AceDRG for the creation of ligand descriptions and conformers, Lidia and JLigand for two-dimensional and three-dimensional ligand editing and visual analysis, Coot for density interpretation, ligand fitting, analysis and validation, and REFMAC5 for macromolecular refinement. In addition to recent advancements in automatic carbohydrate building in Coot (LO/Carb) and ligand-validation tools (FLEV), the release of the CCP4i2 GUI provides an integrated solution that streamlines the ligand-fitting workflow, seamlessly passing results from one program to the next. The ligand-fitting process is illustrated using instructive practical examples, including problematic cases such as post-translational modifications, highlighting the need for careful analysis and rigorous validation.
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Affiliation(s)
- Robert A. Nicholls
- Structural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, England
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