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Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2
Molecular modeling tools were applied to design a potential covalent inhibitor of the main protease (M(pro)) of the SARS-CoV-2 virus and to investigate its interaction with the enzyme. The compound includes a benzoisothiazolone (BZT) moiety of antimalarial drugs and a 5-fluoro-6-nitropyrimidine-2,4(...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761045/ https://www.ncbi.nlm.nih.gov/pubmed/35068913 http://dx.doi.org/10.1007/s11172-021-3319-8 |
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author | Nemukhin, A. V. Grigorenko, B. L. Lushchekina, S. V. Varfolomeev, S. D. |
author_facet | Nemukhin, A. V. Grigorenko, B. L. Lushchekina, S. V. Varfolomeev, S. D. |
author_sort | Nemukhin, A. V. |
collection | PubMed |
description | Molecular modeling tools were applied to design a potential covalent inhibitor of the main protease (M(pro)) of the SARS-CoV-2 virus and to investigate its interaction with the enzyme. The compound includes a benzoisothiazolone (BZT) moiety of antimalarial drugs and a 5-fluoro-6-nitropyrimidine-2,4(1.H,3H)-dione (FNP) moiety mimicking motifs of inhibitors of other cysteine proteases. The BZT moiety provides a fair binding of the ligand on the protein surface, whereas the warhead FNP is responsible for efficient nucleophilic aromatic substitution reaction with the catalytic cysteine residue in the M(pro) active site, leading to a stable covalent adduct. According to supercomputer calculations of the reaction energy profile using the quantum mechanics/molecular mechanics method, the energy of the covalent adduct is 21 kcal mol(−1) below the energy of the reactants, while the highest barrier along the reaction pathway is 9 kcal mol(−1). These estimates indicate that the reaction can proceed efficiently and can block the M(pro) enzyme. The computed structures along the reaction path illustrate the nucleophilic aromatic substitution (S(N)Ar) mechanism in enzymes. The results of this study are important for the choice of potential drugs blocking the development of coronavirus infection. |
format | Online Article Text |
id | pubmed-8761045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-87610452022-01-18 Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 Nemukhin, A. V. Grigorenko, B. L. Lushchekina, S. V. Varfolomeev, S. D. Russ Chem Bull Full Articles Molecular modeling tools were applied to design a potential covalent inhibitor of the main protease (M(pro)) of the SARS-CoV-2 virus and to investigate its interaction with the enzyme. The compound includes a benzoisothiazolone (BZT) moiety of antimalarial drugs and a 5-fluoro-6-nitropyrimidine-2,4(1.H,3H)-dione (FNP) moiety mimicking motifs of inhibitors of other cysteine proteases. The BZT moiety provides a fair binding of the ligand on the protein surface, whereas the warhead FNP is responsible for efficient nucleophilic aromatic substitution reaction with the catalytic cysteine residue in the M(pro) active site, leading to a stable covalent adduct. According to supercomputer calculations of the reaction energy profile using the quantum mechanics/molecular mechanics method, the energy of the covalent adduct is 21 kcal mol(−1) below the energy of the reactants, while the highest barrier along the reaction pathway is 9 kcal mol(−1). These estimates indicate that the reaction can proceed efficiently and can block the M(pro) enzyme. The computed structures along the reaction path illustrate the nucleophilic aromatic substitution (S(N)Ar) mechanism in enzymes. The results of this study are important for the choice of potential drugs blocking the development of coronavirus infection. Springer US 2022-01-15 2021 /pmc/articles/PMC8761045/ /pubmed/35068913 http://dx.doi.org/10.1007/s11172-021-3319-8 Text en © Springer Science+Business Media LLC 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Full Articles Nemukhin, A. V. Grigorenko, B. L. Lushchekina, S. V. Varfolomeev, S. D. Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title | Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title_full | Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title_fullStr | Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title_full_unstemmed | Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title_short | Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2 |
title_sort | supercomputer simulation of the covalent inhibition of the main protease of sars-cov-2 |
topic | Full Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761045/ https://www.ncbi.nlm.nih.gov/pubmed/35068913 http://dx.doi.org/10.1007/s11172-021-3319-8 |
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