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Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations

[Image: see text] We analyzed a 100 μs MD trajectory of the SARS-CoV-2 main protease by a non-parametric data analysis approach which allows characterizing a free energy landscape as a simultaneous function of hundreds of variables. We identified several conformations that, when visited by the dynam...

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Autores principales: Carli, Matteo, Sormani, Giulia, Rodriguez, Alex, Laio, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755075/
https://www.ncbi.nlm.nih.gov/pubmed/33306377
http://dx.doi.org/10.1021/acs.jpclett.0c03182
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author Carli, Matteo
Sormani, Giulia
Rodriguez, Alex
Laio, Alessandro
author_facet Carli, Matteo
Sormani, Giulia
Rodriguez, Alex
Laio, Alessandro
author_sort Carli, Matteo
collection PubMed
description [Image: see text] We analyzed a 100 μs MD trajectory of the SARS-CoV-2 main protease by a non-parametric data analysis approach which allows characterizing a free energy landscape as a simultaneous function of hundreds of variables. We identified several conformations that, when visited by the dynamics, are stable for several hundred nanoseconds. We explicitly characterize and describe these metastable states. In some of these configurations, the catalytic dyad is less accessible. Stabilizing them by a suitable binder could lead to an inhibition of the enzymatic activity. In our analysis we keep track of relevant contacts between residues which are selectively broken or formed in the states. Some of these contacts are formed by residues which are far from the catalytic dyad and are accessible to the solvent. Based on this analysis we propose some relevant contact patterns and three possible binding sites which could be targeted to achieve allosteric inhibition.
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spelling pubmed-77550752020-12-22 Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations Carli, Matteo Sormani, Giulia Rodriguez, Alex Laio, Alessandro J Phys Chem Lett [Image: see text] We analyzed a 100 μs MD trajectory of the SARS-CoV-2 main protease by a non-parametric data analysis approach which allows characterizing a free energy landscape as a simultaneous function of hundreds of variables. We identified several conformations that, when visited by the dynamics, are stable for several hundred nanoseconds. We explicitly characterize and describe these metastable states. In some of these configurations, the catalytic dyad is less accessible. Stabilizing them by a suitable binder could lead to an inhibition of the enzymatic activity. In our analysis we keep track of relevant contacts between residues which are selectively broken or formed in the states. Some of these contacts are formed by residues which are far from the catalytic dyad and are accessible to the solvent. Based on this analysis we propose some relevant contact patterns and three possible binding sites which could be targeted to achieve allosteric inhibition. American Chemical Society 2020-12-11 2021-01-14 /pmc/articles/PMC7755075/ /pubmed/33306377 http://dx.doi.org/10.1021/acs.jpclett.0c03182 Text en © 2020 American Chemical Society 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 Carli, Matteo
Sormani, Giulia
Rodriguez, Alex
Laio, Alessandro
Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title_full Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title_fullStr Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title_full_unstemmed Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title_short Candidate Binding Sites for Allosteric Inhibition of the SARS-CoV-2 Main Protease from the Analysis of Large-Scale Molecular Dynamics Simulations
title_sort candidate binding sites for allosteric inhibition of the sars-cov-2 main protease from the analysis of large-scale molecular dynamics simulations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755075/
https://www.ncbi.nlm.nih.gov/pubmed/33306377
http://dx.doi.org/10.1021/acs.jpclett.0c03182
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