Cargando…
Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA
CONTEXT: In the replication of SARS-CoV-2, the main protease (Mpro/3CLpro) is significant. It is conserved in a number of novel coronavirus variations, and no known human proteases share its cleavage sites. Therefore, 3CLpro is an ideal target. In the report, we screened five potential inhibitors (1...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100623/ https://www.ncbi.nlm.nih.gov/pubmed/37055578 http://dx.doi.org/10.1007/s00894-023-05534-3 |
_version_ | 1785025317440585728 |
---|---|
author | Shi, Yunfan Dong, Liting Ju, Zhuang Li, Qiufu Cui, Yanru Liu, Yiran He, Jiaoyu Ding, Xianping |
author_facet | Shi, Yunfan Dong, Liting Ju, Zhuang Li, Qiufu Cui, Yanru Liu, Yiran He, Jiaoyu Ding, Xianping |
author_sort | Shi, Yunfan |
collection | PubMed |
description | CONTEXT: In the replication of SARS-CoV-2, the main protease (Mpro/3CLpro) is significant. It is conserved in a number of novel coronavirus variations, and no known human proteases share its cleavage sites. Therefore, 3CLpro is an ideal target. In the report, we screened five potential inhibitors (1543, 2308, 3717, 5606, and 9000) of SARS-CoV-2 Mpro through a workflow. The calculation of MM-GBSA binding free energy showed that three of the five potential inhibitors (1543, 2308, 5606) had similar inhibitor effects to X77 against Mpro of SARS-CoV-2. In conclusion, the manuscript lays the groundwork for the design of Mpro inhibitors. METHODS: In the virtual screening phase, we used structure-based virtual screening (Qvina2.1) and ligand-based virtual screening (AncPhore). In the molecular dynamic simulation part, we used the Amber14SB + GAFF force field to perform molecular dynamic simulation of the complex for 100 ns (Gromacs2021.5) and performed MM-GBSA binding free energy calculation according to the simulation trajectory. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-023-05534-3. |
format | Online Article Text |
id | pubmed-10100623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101006232023-04-14 Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA Shi, Yunfan Dong, Liting Ju, Zhuang Li, Qiufu Cui, Yanru Liu, Yiran He, Jiaoyu Ding, Xianping J Mol Model Original Paper CONTEXT: In the replication of SARS-CoV-2, the main protease (Mpro/3CLpro) is significant. It is conserved in a number of novel coronavirus variations, and no known human proteases share its cleavage sites. Therefore, 3CLpro is an ideal target. In the report, we screened five potential inhibitors (1543, 2308, 3717, 5606, and 9000) of SARS-CoV-2 Mpro through a workflow. The calculation of MM-GBSA binding free energy showed that three of the five potential inhibitors (1543, 2308, 5606) had similar inhibitor effects to X77 against Mpro of SARS-CoV-2. In conclusion, the manuscript lays the groundwork for the design of Mpro inhibitors. METHODS: In the virtual screening phase, we used structure-based virtual screening (Qvina2.1) and ligand-based virtual screening (AncPhore). In the molecular dynamic simulation part, we used the Amber14SB + GAFF force field to perform molecular dynamic simulation of the complex for 100 ns (Gromacs2021.5) and performed MM-GBSA binding free energy calculation according to the simulation trajectory. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-023-05534-3. Springer Berlin Heidelberg 2023-04-13 2023 /pmc/articles/PMC10100623/ /pubmed/37055578 http://dx.doi.org/10.1007/s00894-023-05534-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) 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 Shi, Yunfan Dong, Liting Ju, Zhuang Li, Qiufu Cui, Yanru Liu, Yiran He, Jiaoyu Ding, Xianping Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title | Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title_full | Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title_fullStr | Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title_full_unstemmed | Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title_short | Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA |
title_sort | exploring potential sars-cov-2 mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and mm-gbsa |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100623/ https://www.ncbi.nlm.nih.gov/pubmed/37055578 http://dx.doi.org/10.1007/s00894-023-05534-3 |
work_keys_str_mv | AT shiyunfan exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT dongliting exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT juzhuang exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT liqiufu exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT cuiyanru exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT liuyiran exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT hejiaoyu exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa AT dingxianping exploringpotentialsarscov2mprononcovalentinhibitorsthroughdockingpharmacophoreprofilematchingmoleculardynamicsimulationandmmgbsa |