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Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations
Given the enormous social and health impact of the pandemic triggered by severe acute respiratory syndrome 2 (SARS-CoV-2), the scientific community made a huge effort to provide an immediate response to the challenges posed by Coronavirus disease 2019 (COVID-19). One of the most important proteins o...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432786/ https://www.ncbi.nlm.nih.gov/pubmed/32731361 http://dx.doi.org/10.3390/ijms21155346 |
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author | Grottesi, Alessandro Bešker, Neva Emerson, Andrew Manelfi, Candida Beccari, Andrea R. Frigerio, Francesco Lindahl, Erik Cerchia, Carmen Talarico, Carmine |
author_facet | Grottesi, Alessandro Bešker, Neva Emerson, Andrew Manelfi, Candida Beccari, Andrea R. Frigerio, Francesco Lindahl, Erik Cerchia, Carmen Talarico, Carmine |
author_sort | Grottesi, Alessandro |
collection | PubMed |
description | Given the enormous social and health impact of the pandemic triggered by severe acute respiratory syndrome 2 (SARS-CoV-2), the scientific community made a huge effort to provide an immediate response to the challenges posed by Coronavirus disease 2019 (COVID-19). One of the most important proteins of the virus is an enzyme, called 3CLpro or main protease, already identified as an important pharmacological target also in SARS and Middle East respiratory syndrome virus (MERS) viruses. This protein triggers the production of a whole series of enzymes necessary for the virus to carry out its replicating and infectious activities. Therefore, it is crucial to gain a deeper understanding of 3CLpro structure and function in order to effectively target this enzyme. All-atoms molecular dynamics (MD) simulations were performed to examine the different conformational behaviors of the monomeric and dimeric form of SARS-CoV-2 3CLpro apo structure, as revealed by microsecond time scale MD simulations. Our results also shed light on the conformational dynamics of the loop regions at the entry of the catalytic site. Studying, at atomic level, the characteristics of the active site and obtaining information on how the protein can interact with its substrates will allow the design of molecules able to block the enzymatic function crucial for the virus. |
format | Online Article Text |
id | pubmed-7432786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74327862020-08-27 Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations Grottesi, Alessandro Bešker, Neva Emerson, Andrew Manelfi, Candida Beccari, Andrea R. Frigerio, Francesco Lindahl, Erik Cerchia, Carmen Talarico, Carmine Int J Mol Sci Article Given the enormous social and health impact of the pandemic triggered by severe acute respiratory syndrome 2 (SARS-CoV-2), the scientific community made a huge effort to provide an immediate response to the challenges posed by Coronavirus disease 2019 (COVID-19). One of the most important proteins of the virus is an enzyme, called 3CLpro or main protease, already identified as an important pharmacological target also in SARS and Middle East respiratory syndrome virus (MERS) viruses. This protein triggers the production of a whole series of enzymes necessary for the virus to carry out its replicating and infectious activities. Therefore, it is crucial to gain a deeper understanding of 3CLpro structure and function in order to effectively target this enzyme. All-atoms molecular dynamics (MD) simulations were performed to examine the different conformational behaviors of the monomeric and dimeric form of SARS-CoV-2 3CLpro apo structure, as revealed by microsecond time scale MD simulations. Our results also shed light on the conformational dynamics of the loop regions at the entry of the catalytic site. Studying, at atomic level, the characteristics of the active site and obtaining information on how the protein can interact with its substrates will allow the design of molecules able to block the enzymatic function crucial for the virus. MDPI 2020-07-28 /pmc/articles/PMC7432786/ /pubmed/32731361 http://dx.doi.org/10.3390/ijms21155346 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Grottesi, Alessandro Bešker, Neva Emerson, Andrew Manelfi, Candida Beccari, Andrea R. Frigerio, Francesco Lindahl, Erik Cerchia, Carmen Talarico, Carmine Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title | Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title_full | Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title_fullStr | Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title_full_unstemmed | Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title_short | Computational Studies of SARS-CoV-2 3CLpro: Insights from MD Simulations |
title_sort | computational studies of sars-cov-2 3clpro: insights from md simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432786/ https://www.ncbi.nlm.nih.gov/pubmed/32731361 http://dx.doi.org/10.3390/ijms21155346 |
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