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Structural basis of Omicron immune evasion: A comparative computational study

BACKGROUND: The vaccines used against SARS-CoV-2 by now have been able to develop some neutralising antibodies in the vaccinated population and their effectiveness has been challenged by the emergence of the new strains with numerous mutations in the spike protein of SARS-CoV-2. Since S protein is t...

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Autores principales: Contractor, Darshan, Globisch, Christoph, Swaroop, Shiv, Jain, Alok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212419/
https://www.ncbi.nlm.nih.gov/pubmed/35763933
http://dx.doi.org/10.1016/j.compbiomed.2022.105758
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author Contractor, Darshan
Globisch, Christoph
Swaroop, Shiv
Jain, Alok
author_facet Contractor, Darshan
Globisch, Christoph
Swaroop, Shiv
Jain, Alok
author_sort Contractor, Darshan
collection PubMed
description BACKGROUND: The vaccines used against SARS-CoV-2 by now have been able to develop some neutralising antibodies in the vaccinated population and their effectiveness has been challenged by the emergence of the new strains with numerous mutations in the spike protein of SARS-CoV-2. Since S protein is the major immunogenic protein of the virus which contains Receptor Binding Domain (RBD) that interacts with the human Angiotensin-Converting Enzyme 2 (ACE2) receptors, any mutations in this region should affect the neutralisation potential of the antibodies leading to the immune evasion. Several variants of concern of the virus have emerged so far, amongst which the most critical are Delta and recently reported Omicron. In this study, we have mapped and reported mutations on the modelled RBD and evaluated binding affinities of various human antibodies with it. METHOD: Docking and molecular dynamics simulation studies have been used to explore the effect of mutations on the structure of RBD and RBD-antibody interaction. RESULTS: These analyses show that the mutations mostly at the interface of a nearby region lower the binding affinity of the antibody by ten to forty percent, with a downfall in the number of interactions formed as a whole. It implies the generation of immune escape variants. CONCLUSIONS: Notable mutations and their effect was characterised that explain the structural basis of antibody efficacy in Delta and a compromised neutralisation effect for the Omicron variant. Thus, our results pave the way for robust vaccine design that can be effective for many variants.
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spelling pubmed-92124192022-06-22 Structural basis of Omicron immune evasion: A comparative computational study Contractor, Darshan Globisch, Christoph Swaroop, Shiv Jain, Alok Comput Biol Med Article BACKGROUND: The vaccines used against SARS-CoV-2 by now have been able to develop some neutralising antibodies in the vaccinated population and their effectiveness has been challenged by the emergence of the new strains with numerous mutations in the spike protein of SARS-CoV-2. Since S protein is the major immunogenic protein of the virus which contains Receptor Binding Domain (RBD) that interacts with the human Angiotensin-Converting Enzyme 2 (ACE2) receptors, any mutations in this region should affect the neutralisation potential of the antibodies leading to the immune evasion. Several variants of concern of the virus have emerged so far, amongst which the most critical are Delta and recently reported Omicron. In this study, we have mapped and reported mutations on the modelled RBD and evaluated binding affinities of various human antibodies with it. METHOD: Docking and molecular dynamics simulation studies have been used to explore the effect of mutations on the structure of RBD and RBD-antibody interaction. RESULTS: These analyses show that the mutations mostly at the interface of a nearby region lower the binding affinity of the antibody by ten to forty percent, with a downfall in the number of interactions formed as a whole. It implies the generation of immune escape variants. CONCLUSIONS: Notable mutations and their effect was characterised that explain the structural basis of antibody efficacy in Delta and a compromised neutralisation effect for the Omicron variant. Thus, our results pave the way for robust vaccine design that can be effective for many variants. Elsevier Ltd. 2022-08 2022-06-20 /pmc/articles/PMC9212419/ /pubmed/35763933 http://dx.doi.org/10.1016/j.compbiomed.2022.105758 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Contractor, Darshan
Globisch, Christoph
Swaroop, Shiv
Jain, Alok
Structural basis of Omicron immune evasion: A comparative computational study
title Structural basis of Omicron immune evasion: A comparative computational study
title_full Structural basis of Omicron immune evasion: A comparative computational study
title_fullStr Structural basis of Omicron immune evasion: A comparative computational study
title_full_unstemmed Structural basis of Omicron immune evasion: A comparative computational study
title_short Structural basis of Omicron immune evasion: A comparative computational study
title_sort structural basis of omicron immune evasion: a comparative computational study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212419/
https://www.ncbi.nlm.nih.gov/pubmed/35763933
http://dx.doi.org/10.1016/j.compbiomed.2022.105758
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