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Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies
Main protease (M(pro)) plays a key role in replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study was designed for finding natural inhibitors of SARS-CoV-2 M(pro) by in silico methods. To this end, the co-crystal structure of M(pro) with telaprevir was explored and r...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420677/ https://www.ncbi.nlm.nih.gov/pubmed/36031629 http://dx.doi.org/10.1007/s00894-022-05286-6 |
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author | Halimi, Mohammad Bararpour, Parvindokht |
author_facet | Halimi, Mohammad Bararpour, Parvindokht |
author_sort | Halimi, Mohammad |
collection | PubMed |
description | Main protease (M(pro)) plays a key role in replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study was designed for finding natural inhibitors of SARS-CoV-2 M(pro) by in silico methods. To this end, the co-crystal structure of M(pro) with telaprevir was explored and receptor-ligand pharmacophore models were developed and validated using pharmit. The database of “ZINC Natural Products” was screened, and 288 compounds were filtered according to pharmacophore features. In the next step, Lipinski’s rule of five was applied and absorption, distribution, metabolism, excretion, and toxicity (ADMET) of the filtered compounds were calculated using in silico methods. The resulted 15 compounds were docked into the active site of M(pro) and those with the highest binding scores and better interaction including ZINC61991204, ZINC67910260, ZINC61991203, and ZINC08790293 were selected. Further analysis by molecular dynamic simulation studies showed that ZINC61991203 and ZINC08790293 dissociated from M(pro) active site, while ZINC426421106 and ZINC5481346 were stable. Root mean square deviation (RMSD), radius of gyration (Rg), number of hydrogen bonds between ligand and protein during the time of simulation, and root mean square fluctuations (RMSF) of protein and ligands were calculated, and components of binding free energy were calculated using the molecular mechanic/Poisson-Boltzmann surface area (MM/PBSA) method. The result of all the analysis indicated that ZINC61991204 and ZINC67910260 are drug-like and nontoxic and have a high potential for inhibiting M(pro). GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-022-05286-6. |
format | Online Article Text |
id | pubmed-9420677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94206772022-08-30 Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies Halimi, Mohammad Bararpour, Parvindokht J Mol Model Original Paper Main protease (M(pro)) plays a key role in replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study was designed for finding natural inhibitors of SARS-CoV-2 M(pro) by in silico methods. To this end, the co-crystal structure of M(pro) with telaprevir was explored and receptor-ligand pharmacophore models were developed and validated using pharmit. The database of “ZINC Natural Products” was screened, and 288 compounds were filtered according to pharmacophore features. In the next step, Lipinski’s rule of five was applied and absorption, distribution, metabolism, excretion, and toxicity (ADMET) of the filtered compounds were calculated using in silico methods. The resulted 15 compounds were docked into the active site of M(pro) and those with the highest binding scores and better interaction including ZINC61991204, ZINC67910260, ZINC61991203, and ZINC08790293 were selected. Further analysis by molecular dynamic simulation studies showed that ZINC61991203 and ZINC08790293 dissociated from M(pro) active site, while ZINC426421106 and ZINC5481346 were stable. Root mean square deviation (RMSD), radius of gyration (Rg), number of hydrogen bonds between ligand and protein during the time of simulation, and root mean square fluctuations (RMSF) of protein and ligands were calculated, and components of binding free energy were calculated using the molecular mechanic/Poisson-Boltzmann surface area (MM/PBSA) method. The result of all the analysis indicated that ZINC61991204 and ZINC67910260 are drug-like and nontoxic and have a high potential for inhibiting M(pro). GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-022-05286-6. Springer Berlin Heidelberg 2022-08-29 2022 /pmc/articles/PMC9420677/ /pubmed/36031629 http://dx.doi.org/10.1007/s00894-022-05286-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 | Original Paper Halimi, Mohammad Bararpour, Parvindokht Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title | Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title_full | Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title_fullStr | Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title_full_unstemmed | Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title_short | Natural inhibitors of SARS-CoV-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
title_sort | natural inhibitors of sars-cov-2 main protease: structure based pharmacophore modeling, molecular docking and molecular dynamic simulation studies |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420677/ https://www.ncbi.nlm.nih.gov/pubmed/36031629 http://dx.doi.org/10.1007/s00894-022-05286-6 |
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