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Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease
ABSTRACT: Although vaccine development is being undertaken at a breakneck speed, there is currently no effective antiviral drug for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. Therefore, the present study aims to explore the possibilities offered by naturally avail...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685905/ https://www.ncbi.nlm.nih.gov/pubmed/33236176 http://dx.doi.org/10.1007/s11030-020-10150-x |
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author | Gogoi, Neelutpal Chowdhury, Purvita Goswami, Ashis Kumar Das, Aparoop Chetia, Dipak Gogoi, Bhaskarjyoti |
author_facet | Gogoi, Neelutpal Chowdhury, Purvita Goswami, Ashis Kumar Das, Aparoop Chetia, Dipak Gogoi, Bhaskarjyoti |
author_sort | Gogoi, Neelutpal |
collection | PubMed |
description | ABSTRACT: Although vaccine development is being undertaken at a breakneck speed, there is currently no effective antiviral drug for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. Therefore, the present study aims to explore the possibilities offered by naturally available and abundant flavonoid compounds, as a prospective antiviral drug to combat the virus. A library of 44 citrus flavonoids was screened against the highly conserved Main Protease (M(pro)) of SARS-CoV-2 using molecular docking. The compounds which showed better CDocker energy than the co-crystal inhibitor of M(pro) were further revalidated by flexible docking within the active site; followed by assessment of drug likeness and toxicity parameters. The non-toxic compounds were further subjected to molecular dynamics simulation and predicted activity (IC(50)) using 3D-QSAR analysis. Subsequently, hydrogen bonds and dehydration analysis of the best compound were performed to assess the binding affinity to M(pro). It was observed that out of the 44 citrus flavonoids, five compounds showed lower binding energy with M(pro) than the co-crystal ligand. Moreover, these compounds also formed H-bonds with two important catalytic residues His41 and Cys145 of the active sites of M(pro). Three compounds which passed the drug likeness filter showed stable conformation during MD simulations. Among these, the lowest predicted IC(50) value was observed for Taxifolin. Therefore, this study suggests that Taxifolin, could be a potential inhibitor against SARS-CoV-2 main protease and can be further analysed by in vitro and in vivo experiments for management of the ongoing pandemic. GRAPHIC ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-7685905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76859052020-11-25 Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease Gogoi, Neelutpal Chowdhury, Purvita Goswami, Ashis Kumar Das, Aparoop Chetia, Dipak Gogoi, Bhaskarjyoti Mol Divers Original Article ABSTRACT: Although vaccine development is being undertaken at a breakneck speed, there is currently no effective antiviral drug for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. Therefore, the present study aims to explore the possibilities offered by naturally available and abundant flavonoid compounds, as a prospective antiviral drug to combat the virus. A library of 44 citrus flavonoids was screened against the highly conserved Main Protease (M(pro)) of SARS-CoV-2 using molecular docking. The compounds which showed better CDocker energy than the co-crystal inhibitor of M(pro) were further revalidated by flexible docking within the active site; followed by assessment of drug likeness and toxicity parameters. The non-toxic compounds were further subjected to molecular dynamics simulation and predicted activity (IC(50)) using 3D-QSAR analysis. Subsequently, hydrogen bonds and dehydration analysis of the best compound were performed to assess the binding affinity to M(pro). It was observed that out of the 44 citrus flavonoids, five compounds showed lower binding energy with M(pro) than the co-crystal ligand. Moreover, these compounds also formed H-bonds with two important catalytic residues His41 and Cys145 of the active sites of M(pro). Three compounds which passed the drug likeness filter showed stable conformation during MD simulations. Among these, the lowest predicted IC(50) value was observed for Taxifolin. Therefore, this study suggests that Taxifolin, could be a potential inhibitor against SARS-CoV-2 main protease and can be further analysed by in vitro and in vivo experiments for management of the ongoing pandemic. GRAPHIC ABSTRACT: [Image: see text] Springer International Publishing 2020-11-25 2021 /pmc/articles/PMC7685905/ /pubmed/33236176 http://dx.doi.org/10.1007/s11030-020-10150-x Text en © Springer Nature Switzerland AG 2020 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 Article Gogoi, Neelutpal Chowdhury, Purvita Goswami, Ashis Kumar Das, Aparoop Chetia, Dipak Gogoi, Bhaskarjyoti Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title | Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title_full | Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title_fullStr | Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title_full_unstemmed | Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title_short | Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease |
title_sort | computational guided identification of a citrus flavonoid as potential inhibitor of sars-cov-2 main protease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685905/ https://www.ncbi.nlm.nih.gov/pubmed/33236176 http://dx.doi.org/10.1007/s11030-020-10150-x |
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