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Dynamical Nonequilibrium Molecular Dynamics Simulations Identify Allosteric Sites and Positions Associated with Drug Resistance in the SARS-CoV-2 Main Protease
[Image: see text] The SARS-CoV-2 main protease (M(pro)) plays an essential role in the coronavirus lifecycle by catalyzing hydrolysis of the viral polyproteins at specific sites. M(pro) is the target of drugs, such as nirmatrelvir, though resistant mutants have emerged that threaten drug efficacy. D...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262681/ https://www.ncbi.nlm.nih.gov/pubmed/37384148 http://dx.doi.org/10.1021/jacsau.3c00185 |
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author | Chan, H. T. Henry Oliveira, A. Sofia F. Schofield, Christopher J. Mulholland, Adrian J. Duarte, Fernanda |
author_facet | Chan, H. T. Henry Oliveira, A. Sofia F. Schofield, Christopher J. Mulholland, Adrian J. Duarte, Fernanda |
author_sort | Chan, H. T. Henry |
collection | PubMed |
description | [Image: see text] The SARS-CoV-2 main protease (M(pro)) plays an essential role in the coronavirus lifecycle by catalyzing hydrolysis of the viral polyproteins at specific sites. M(pro) is the target of drugs, such as nirmatrelvir, though resistant mutants have emerged that threaten drug efficacy. Despite its importance, questions remain on the mechanism of how M(pro) binds its substrates. Here, we apply dynamical nonequilibrium molecular dynamics (D-NEMD) simulations to evaluate structural and dynamical responses of M(pro) to the presence and absence of a substrate. The results highlight communication between the M(pro) dimer subunits and identify networks, including some far from the active site, that link the active site with a known allosteric inhibition site, or which are associated with nirmatrelvir resistance. They imply that some mutations enable resistance by altering the allosteric behavior of M(pro). More generally, the results show the utility of the D-NEMD technique for identifying functionally relevant allosteric sites and networks including those relevant to resistance. |
format | Online Article Text |
id | pubmed-10262681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102626812023-06-14 Dynamical Nonequilibrium Molecular Dynamics Simulations Identify Allosteric Sites and Positions Associated with Drug Resistance in the SARS-CoV-2 Main Protease Chan, H. T. Henry Oliveira, A. Sofia F. Schofield, Christopher J. Mulholland, Adrian J. Duarte, Fernanda JACS Au [Image: see text] The SARS-CoV-2 main protease (M(pro)) plays an essential role in the coronavirus lifecycle by catalyzing hydrolysis of the viral polyproteins at specific sites. M(pro) is the target of drugs, such as nirmatrelvir, though resistant mutants have emerged that threaten drug efficacy. Despite its importance, questions remain on the mechanism of how M(pro) binds its substrates. Here, we apply dynamical nonequilibrium molecular dynamics (D-NEMD) simulations to evaluate structural and dynamical responses of M(pro) to the presence and absence of a substrate. The results highlight communication between the M(pro) dimer subunits and identify networks, including some far from the active site, that link the active site with a known allosteric inhibition site, or which are associated with nirmatrelvir resistance. They imply that some mutations enable resistance by altering the allosteric behavior of M(pro). More generally, the results show the utility of the D-NEMD technique for identifying functionally relevant allosteric sites and networks including those relevant to resistance. American Chemical Society 2023-06-07 /pmc/articles/PMC10262681/ /pubmed/37384148 http://dx.doi.org/10.1021/jacsau.3c00185 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chan, H. T. Henry Oliveira, A. Sofia F. Schofield, Christopher J. Mulholland, Adrian J. Duarte, Fernanda Dynamical Nonequilibrium Molecular Dynamics Simulations Identify Allosteric Sites and Positions Associated with Drug Resistance in the SARS-CoV-2 Main Protease |
title | Dynamical Nonequilibrium
Molecular Dynamics Simulations
Identify Allosteric Sites and Positions Associated with Drug Resistance
in the SARS-CoV-2 Main Protease |
title_full | Dynamical Nonequilibrium
Molecular Dynamics Simulations
Identify Allosteric Sites and Positions Associated with Drug Resistance
in the SARS-CoV-2 Main Protease |
title_fullStr | Dynamical Nonequilibrium
Molecular Dynamics Simulations
Identify Allosteric Sites and Positions Associated with Drug Resistance
in the SARS-CoV-2 Main Protease |
title_full_unstemmed | Dynamical Nonequilibrium
Molecular Dynamics Simulations
Identify Allosteric Sites and Positions Associated with Drug Resistance
in the SARS-CoV-2 Main Protease |
title_short | Dynamical Nonequilibrium
Molecular Dynamics Simulations
Identify Allosteric Sites and Positions Associated with Drug Resistance
in the SARS-CoV-2 Main Protease |
title_sort | dynamical nonequilibrium
molecular dynamics simulations
identify allosteric sites and positions associated with drug resistance
in the sars-cov-2 main protease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262681/ https://www.ncbi.nlm.nih.gov/pubmed/37384148 http://dx.doi.org/10.1021/jacsau.3c00185 |
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