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Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a public health crisis, and the vaccines that can induce highly potent neutralizing antibodies are essential for ending the pandemic. The spike (S) protein on the viral envelope mediates human angiotensin-converting...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132224/ https://www.ncbi.nlm.nih.gov/pubmed/34013268 http://dx.doi.org/10.1101/2021.05.10.443519 |
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author | Cao, Yiwei Choi, Yeol Kyo Frank, Martin Woo, Hyeonuk Park, Sang-Jun Yeom, Min Sun Seok, Chaok Im, Wonpil |
author_facet | Cao, Yiwei Choi, Yeol Kyo Frank, Martin Woo, Hyeonuk Park, Sang-Jun Yeom, Min Sun Seok, Chaok Im, Wonpil |
author_sort | Cao, Yiwei |
collection | PubMed |
description | The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a public health crisis, and the vaccines that can induce highly potent neutralizing antibodies are essential for ending the pandemic. The spike (S) protein on the viral envelope mediates human angiotensin-converting enzyme 2 (ACE2) binding and thus is the target of a variety of neutralizing antibodies. In this work, we built various S trimer-antibody complex structures on the basis of the fully glycosylated S protein models described in our previous work, and performed all-atom molecular dynamics simulations to get insight into the structural dynamics and interactions between S protein and antibodies. Investigation of the residues critical for S-antibody binding allows us to predict the potential influence of mutations in SARS-CoV-2 variants. Comparison of the glycan conformations between S-only and S-antibody systems reveals the roles of glycans in S-antibody binding. In addition, we explored the antibody binding modes, and the influences of antibody on the motion of S protein receptor binding domains. Overall, our analyses provide a better understanding of S-antibody interactions, and the simulation-based S-antibody interaction maps could be used to predict the influences of S mutation on S-antibody interactions, which will be useful for the development of vaccine and antibody-based therapy. |
format | Online Article Text |
id | pubmed-8132224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-81322242021-05-20 Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies Cao, Yiwei Choi, Yeol Kyo Frank, Martin Woo, Hyeonuk Park, Sang-Jun Yeom, Min Sun Seok, Chaok Im, Wonpil bioRxiv Article The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a public health crisis, and the vaccines that can induce highly potent neutralizing antibodies are essential for ending the pandemic. The spike (S) protein on the viral envelope mediates human angiotensin-converting enzyme 2 (ACE2) binding and thus is the target of a variety of neutralizing antibodies. In this work, we built various S trimer-antibody complex structures on the basis of the fully glycosylated S protein models described in our previous work, and performed all-atom molecular dynamics simulations to get insight into the structural dynamics and interactions between S protein and antibodies. Investigation of the residues critical for S-antibody binding allows us to predict the potential influence of mutations in SARS-CoV-2 variants. Comparison of the glycan conformations between S-only and S-antibody systems reveals the roles of glycans in S-antibody binding. In addition, we explored the antibody binding modes, and the influences of antibody on the motion of S protein receptor binding domains. Overall, our analyses provide a better understanding of S-antibody interactions, and the simulation-based S-antibody interaction maps could be used to predict the influences of S mutation on S-antibody interactions, which will be useful for the development of vaccine and antibody-based therapy. Cold Spring Harbor Laboratory 2021-05-11 /pmc/articles/PMC8132224/ /pubmed/34013268 http://dx.doi.org/10.1101/2021.05.10.443519 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Cao, Yiwei Choi, Yeol Kyo Frank, Martin Woo, Hyeonuk Park, Sang-Jun Yeom, Min Sun Seok, Chaok Im, Wonpil Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title | Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title_full | Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title_fullStr | Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title_full_unstemmed | Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title_short | Dynamic Interactions of Fully Glycosylated SARS-CoV-2 Spike Protein with Various Antibodies |
title_sort | dynamic interactions of fully glycosylated sars-cov-2 spike protein with various antibodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132224/ https://www.ncbi.nlm.nih.gov/pubmed/34013268 http://dx.doi.org/10.1101/2021.05.10.443519 |
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