SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights

Detalhes bibliográficos
Autor(a) principal: Marques-Pereira, Catarina
Data de Publicação: 2022
Outros Autores: Pires, Manuel N., Gouveia, Raquel P., Pereira, Nádia N., Caniceiro, Ana B., Rosário-Ferreira, Nícia, Moreira, Irina S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/103324
https://doi.org/10.3390/ijms23062986
Resumo: Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.
id RCAP_5142aeaea3fdb0c42a5acbd51ec15889
oai_identifier_str oai:estudogeral.uc.pt:10316/103324
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New InsightsSARS-CoV-2genomicsproteomicsBinding SitesCOVID-19Coronavirus M ProteinsGenome, ViralHumansMolecular Dynamics SimulationProtein BindingProtein DomainsProtein MultimerizationSARS-CoV-2MutationPolymorphism, Single NucleotideSevere Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.2022-03-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/103324http://hdl.handle.net/10316/103324https://doi.org/10.3390/ijms23062986eng1422-0067Marques-Pereira, CatarinaPires, Manuel N.Gouveia, Raquel P.Pereira, Nádia N.Caniceiro, Ana B.Rosário-Ferreira, NíciaMoreira, Irina S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-11-07T21:33:06Zoai:estudogeral.uc.pt:10316/103324Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:20:10.845622Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
title SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
spellingShingle SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
Marques-Pereira, Catarina
SARS-CoV-2
genomics
proteomics
Binding Sites
COVID-19
Coronavirus M Proteins
Genome, Viral
Humans
Molecular Dynamics Simulation
Protein Binding
Protein Domains
Protein Multimerization
SARS-CoV-2
Mutation
Polymorphism, Single Nucleotide
title_short SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
title_full SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
title_fullStr SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
title_full_unstemmed SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
title_sort SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
author Marques-Pereira, Catarina
author_facet Marques-Pereira, Catarina
Pires, Manuel N.
Gouveia, Raquel P.
Pereira, Nádia N.
Caniceiro, Ana B.
Rosário-Ferreira, Nícia
Moreira, Irina S.
author_role author
author2 Pires, Manuel N.
Gouveia, Raquel P.
Pereira, Nádia N.
Caniceiro, Ana B.
Rosário-Ferreira, Nícia
Moreira, Irina S.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marques-Pereira, Catarina
Pires, Manuel N.
Gouveia, Raquel P.
Pereira, Nádia N.
Caniceiro, Ana B.
Rosário-Ferreira, Nícia
Moreira, Irina S.
dc.subject.por.fl_str_mv SARS-CoV-2
genomics
proteomics
Binding Sites
COVID-19
Coronavirus M Proteins
Genome, Viral
Humans
Molecular Dynamics Simulation
Protein Binding
Protein Domains
Protein Multimerization
SARS-CoV-2
Mutation
Polymorphism, Single Nucleotide
topic SARS-CoV-2
genomics
proteomics
Binding Sites
COVID-19
Coronavirus M Proteins
Genome, Viral
Humans
Molecular Dynamics Simulation
Protein Binding
Protein Domains
Protein Multimerization
SARS-CoV-2
Mutation
Polymorphism, Single Nucleotide
description Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-10
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://hdl.handle.net/10316/103324
http://hdl.handle.net/10316/103324
https://doi.org/10.3390/ijms23062986
url http://hdl.handle.net/10316/103324
https://doi.org/10.3390/ijms23062986
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1422-0067
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134095119220736