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Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation

Widespread human transmission of SARS-CoV-2 highlights the substantial public health, economic and societal consequences of virus spillover from wildlife and also presents a repeated risk of reverse spillovers back to naive wildlife populations. We employ comparative statistical analyses of a large...

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Autores principales: Rajendran, Madhusudan, Babbitt, Gregory A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626255/
https://www.ncbi.nlm.nih.gov/pubmed/36340517
http://dx.doi.org/10.1098/rsos.220600
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author Rajendran, Madhusudan
Babbitt, Gregory A.
author_facet Rajendran, Madhusudan
Babbitt, Gregory A.
author_sort Rajendran, Madhusudan
collection PubMed
description Widespread human transmission of SARS-CoV-2 highlights the substantial public health, economic and societal consequences of virus spillover from wildlife and also presents a repeated risk of reverse spillovers back to naive wildlife populations. We employ comparative statistical analyses of a large set of short-term molecular dynamic (MD) simulations to investigate the potential human-to-bat (genus Rhinolophus) cross-species infectivity allowed by the binding of SARS-CoV-2 receptor-binding domain (RBD) to angiotensin-converting enzyme 2 (ACE2) across the bat progenitor strain and emerging human strain variants of concern (VOC). We statistically compare the dampening of atom motion across protein sites upon the formation of the RBD/ACE2 binding interface using various bat versus human target receptors (i.e. bACE2 and hACE2). We report that while the bat progenitor viral strain RaTG13 shows some pre-adaption binding to hACE2, it also exhibits stronger affinity to bACE2. While early emergent human strains and later VOCs exhibit robust binding to both hACE2 and bACE2, the delta and omicron variants exhibit evolutionary adaption of binding to hACE2. However, we conclude there is a still significant risk of mammalian cross-species infectivity of human VOCs during upcoming waves of infection as COVID-19 transitions from a pandemic to endemic status.
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spelling pubmed-96262552022-11-04 Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation Rajendran, Madhusudan Babbitt, Gregory A. R Soc Open Sci Biochemistry, Cellular and Molecular Biology Widespread human transmission of SARS-CoV-2 highlights the substantial public health, economic and societal consequences of virus spillover from wildlife and also presents a repeated risk of reverse spillovers back to naive wildlife populations. We employ comparative statistical analyses of a large set of short-term molecular dynamic (MD) simulations to investigate the potential human-to-bat (genus Rhinolophus) cross-species infectivity allowed by the binding of SARS-CoV-2 receptor-binding domain (RBD) to angiotensin-converting enzyme 2 (ACE2) across the bat progenitor strain and emerging human strain variants of concern (VOC). We statistically compare the dampening of atom motion across protein sites upon the formation of the RBD/ACE2 binding interface using various bat versus human target receptors (i.e. bACE2 and hACE2). We report that while the bat progenitor viral strain RaTG13 shows some pre-adaption binding to hACE2, it also exhibits stronger affinity to bACE2. While early emergent human strains and later VOCs exhibit robust binding to both hACE2 and bACE2, the delta and omicron variants exhibit evolutionary adaption of binding to hACE2. However, we conclude there is a still significant risk of mammalian cross-species infectivity of human VOCs during upcoming waves of infection as COVID-19 transitions from a pandemic to endemic status. The Royal Society 2022-11-02 /pmc/articles/PMC9626255/ /pubmed/36340517 http://dx.doi.org/10.1098/rsos.220600 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biochemistry, Cellular and Molecular Biology
Rajendran, Madhusudan
Babbitt, Gregory A.
Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title_full Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title_fullStr Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title_full_unstemmed Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title_short Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
title_sort persistent cross-species sars-cov-2 variant infectivity predicted via comparative molecular dynamics simulation
topic Biochemistry, Cellular and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626255/
https://www.ncbi.nlm.nih.gov/pubmed/36340517
http://dx.doi.org/10.1098/rsos.220600
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