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SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948900/ https://www.ncbi.nlm.nih.gov/pubmed/35328409 http://dx.doi.org/10.3390/ijms23062986 |
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author | Marques-Pereira, Catarina Pires, Manuel N. Gouveia, Raquel P. Pereira, Nádia N. Caniceiro, Ana B. Rosário-Ferreira, Nícia Moreira, Irina S. |
author_facet | Marques-Pereira, Catarina Pires, Manuel N. Gouveia, Raquel P. Pereira, Nádia N. Caniceiro, Ana B. Rosário-Ferreira, Nícia Moreira, Irina S. |
author_sort | Marques-Pereira, Catarina |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8948900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89489002022-03-26 SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights Marques-Pereira, Catarina Pires, Manuel N. Gouveia, Raquel P. Pereira, Nádia N. Caniceiro, Ana B. Rosário-Ferreira, Nícia Moreira, Irina S. Int J Mol Sci Article 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. MDPI 2022-03-10 /pmc/articles/PMC8948900/ /pubmed/35328409 http://dx.doi.org/10.3390/ijms23062986 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marques-Pereira, Catarina Pires, Manuel N. Gouveia, Raquel P. Pereira, Nádia N. Caniceiro, Ana B. Rosário-Ferreira, Nícia Moreira, Irina S. 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 |
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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948900/ https://www.ncbi.nlm.nih.gov/pubmed/35328409 http://dx.doi.org/10.3390/ijms23062986 |
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