Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods

Detalhes bibliográficos
Autor(a) principal: Gasparini, P.
Data de Publicação: 2023
Outros Autores: Philot, E. A., Pantaleão, S. Q., Torres-Bonfim, N. E.S.M., Kliousoff, A., Quiroz, R. C.N., Perahia, D., Simões, R. P. [UNESP], Magro, A. J. [UNESP], Scott, A. L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.jmgm.2023.108443
http://hdl.handle.net/11449/246927
Resumo: The main protease of SARS-CoV-2 (called Mpro or 3CLpro) is essential for processing polyproteins encoded by viral RNA. Several Mpro mutations were found in SARS-CoV-2 variants, which are related to higher transmissibility, pathogenicity, and resistance to neutralization antibodies. Macromolecules adopt several favored conformations in solution depending on their structure and shape, determining their dynamics and function. In this study, we used a hybrid simulation method to generate intermediate structures along the six lowest frequency normal modes and sample the conformational space and characterize the structural dynamics and global motions of WT SARS-CoV-2 Mpro and 48 mutations, including mutations found in P.1, B.1.1.7, B.1.351, B.1.525 and B.1.429+B.1.427 variants. We tried to contribute to the elucidation of the effects of mutation in the structural dynamics of SARS-CoV-2 Mpro. A machine learning analysis was performed following the investigation regarding the influence of the K90R, P99L, P108S, and N151D mutations on the dimeric interface assembling of the SARS-CoV-2 Mpro. The parameters allowed the selection of potential structurally stable dimers, which demonstrated that some single surface aa substitutions not located at the dimeric interface (K90R, P99L, P108S, and N151D) are able to induce significant quaternary changes. Furthermore, our results demonstrated, by a Quantum Mechanics method, the influence of SARS-CoV-2 Mpro mutations on the catalytic mechanism, confirming that only one of the chains of the WT and mutant SARS-CoV-2 Mpros are prone to cleave substrates. Finally, it was also possible to identify the aa residue F140 as an important factor related to the increasing enzymatic reactivity of a significant number of SARS-CoV-2 Mpro conformations generated by the normal modes-based simulations.
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spelling Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methodsMain proteaseMolecular dynamicsMutationNormal modesQuantum mechanicsResidue F140SARS-CoV-2Structural dynamicsThe main protease of SARS-CoV-2 (called Mpro or 3CLpro) is essential for processing polyproteins encoded by viral RNA. Several Mpro mutations were found in SARS-CoV-2 variants, which are related to higher transmissibility, pathogenicity, and resistance to neutralization antibodies. Macromolecules adopt several favored conformations in solution depending on their structure and shape, determining their dynamics and function. In this study, we used a hybrid simulation method to generate intermediate structures along the six lowest frequency normal modes and sample the conformational space and characterize the structural dynamics and global motions of WT SARS-CoV-2 Mpro and 48 mutations, including mutations found in P.1, B.1.1.7, B.1.351, B.1.525 and B.1.429+B.1.427 variants. We tried to contribute to the elucidation of the effects of mutation in the structural dynamics of SARS-CoV-2 Mpro. A machine learning analysis was performed following the investigation regarding the influence of the K90R, P99L, P108S, and N151D mutations on the dimeric interface assembling of the SARS-CoV-2 Mpro. The parameters allowed the selection of potential structurally stable dimers, which demonstrated that some single surface aa substitutions not located at the dimeric interface (K90R, P99L, P108S, and N151D) are able to induce significant quaternary changes. Furthermore, our results demonstrated, by a Quantum Mechanics method, the influence of SARS-CoV-2 Mpro mutations on the catalytic mechanism, confirming that only one of the chains of the WT and mutant SARS-CoV-2 Mpros are prone to cleave substrates. Finally, it was also possible to identify the aa residue F140 as an important factor related to the increasing enzymatic reactivity of a significant number of SARS-CoV-2 Mpro conformations generated by the normal modes-based simulations.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Estadual PaulistaComputational Biology and Biophysics Laboratory Federal University of ABC - UFABC, Santo AndréDepartment of Bioprocesses and Biotechnology School of Agriculture (FCA) Unesp, BotucatuInstitute of Biotechnology (IBTEC) Unesp, BotucatuÉcole Normale Supérieure Paris-Saclay LBPA, ScalyDepartment of Bioprocesses and Biotechnology School of Agriculture (FCA) Unesp, BotucatuInstitute of Biotechnology (IBTEC) Unesp, BotucatuCNPq: 164052/2020-8CNPq: 423717/2021-9Universidade Federal do ABC (UFABC)Universidade Estadual Paulista (UNESP)LBPAGasparini, P.Philot, E. A.Pantaleão, S. Q.Torres-Bonfim, N. E.S.M.Kliousoff, A.Quiroz, R. C.N.Perahia, D.Simões, R. P. [UNESP]Magro, A. J. [UNESP]Scott, A. L.2023-07-29T12:54:21Z2023-07-29T12:54:21Z2023-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.jmgm.2023.108443Journal of Molecular Graphics and Modelling, v. 121.1873-42431093-3263http://hdl.handle.net/11449/24692710.1016/j.jmgm.2023.1084432-s2.0-85149283407Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Molecular Graphics and Modellinginfo:eu-repo/semantics/openAccess2023-07-29T12:54:21Zoai:repositorio.unesp.br:11449/246927Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:46:46.027368Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
title Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
spellingShingle Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
Gasparini, P.
Main protease
Molecular dynamics
Mutation
Normal modes
Quantum mechanics
Residue F140
SARS-CoV-2
Structural dynamics
title_short Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
title_full Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
title_fullStr Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
title_full_unstemmed Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
title_sort Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
author Gasparini, P.
author_facet Gasparini, P.
Philot, E. A.
Pantaleão, S. Q.
Torres-Bonfim, N. E.S.M.
Kliousoff, A.
Quiroz, R. C.N.
Perahia, D.
Simões, R. P. [UNESP]
Magro, A. J. [UNESP]
Scott, A. L.
author_role author
author2 Philot, E. A.
Pantaleão, S. Q.
Torres-Bonfim, N. E.S.M.
Kliousoff, A.
Quiroz, R. C.N.
Perahia, D.
Simões, R. P. [UNESP]
Magro, A. J. [UNESP]
Scott, A. L.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do ABC (UFABC)
Universidade Estadual Paulista (UNESP)
LBPA
dc.contributor.author.fl_str_mv Gasparini, P.
Philot, E. A.
Pantaleão, S. Q.
Torres-Bonfim, N. E.S.M.
Kliousoff, A.
Quiroz, R. C.N.
Perahia, D.
Simões, R. P. [UNESP]
Magro, A. J. [UNESP]
Scott, A. L.
dc.subject.por.fl_str_mv Main protease
Molecular dynamics
Mutation
Normal modes
Quantum mechanics
Residue F140
SARS-CoV-2
Structural dynamics
topic Main protease
Molecular dynamics
Mutation
Normal modes
Quantum mechanics
Residue F140
SARS-CoV-2
Structural dynamics
description The main protease of SARS-CoV-2 (called Mpro or 3CLpro) is essential for processing polyproteins encoded by viral RNA. Several Mpro mutations were found in SARS-CoV-2 variants, which are related to higher transmissibility, pathogenicity, and resistance to neutralization antibodies. Macromolecules adopt several favored conformations in solution depending on their structure and shape, determining their dynamics and function. In this study, we used a hybrid simulation method to generate intermediate structures along the six lowest frequency normal modes and sample the conformational space and characterize the structural dynamics and global motions of WT SARS-CoV-2 Mpro and 48 mutations, including mutations found in P.1, B.1.1.7, B.1.351, B.1.525 and B.1.429+B.1.427 variants. We tried to contribute to the elucidation of the effects of mutation in the structural dynamics of SARS-CoV-2 Mpro. A machine learning analysis was performed following the investigation regarding the influence of the K90R, P99L, P108S, and N151D mutations on the dimeric interface assembling of the SARS-CoV-2 Mpro. The parameters allowed the selection of potential structurally stable dimers, which demonstrated that some single surface aa substitutions not located at the dimeric interface (K90R, P99L, P108S, and N151D) are able to induce significant quaternary changes. Furthermore, our results demonstrated, by a Quantum Mechanics method, the influence of SARS-CoV-2 Mpro mutations on the catalytic mechanism, confirming that only one of the chains of the WT and mutant SARS-CoV-2 Mpros are prone to cleave substrates. Finally, it was also possible to identify the aa residue F140 as an important factor related to the increasing enzymatic reactivity of a significant number of SARS-CoV-2 Mpro conformations generated by the normal modes-based simulations.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:54:21Z
2023-07-29T12:54:21Z
2023-06-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.jmgm.2023.108443
Journal of Molecular Graphics and Modelling, v. 121.
1873-4243
1093-3263
http://hdl.handle.net/11449/246927
10.1016/j.jmgm.2023.108443
2-s2.0-85149283407
url http://dx.doi.org/10.1016/j.jmgm.2023.108443
http://hdl.handle.net/11449/246927
identifier_str_mv Journal of Molecular Graphics and Modelling, v. 121.
1873-4243
1093-3263
10.1016/j.jmgm.2023.108443
2-s2.0-85149283407
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Molecular Graphics and Modelling
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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