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Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19
The COVID-19 main protease (Mpro), one of the conserved proteins of the novel coronavirus is crucial for its replication and so is a very lucrative drug target. Till now, there is no drug molecule that has been convincingly identified as the inhibitor of the function of this protein. The current pan...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052536/ https://www.ncbi.nlm.nih.gov/pubmed/33864532 http://dx.doi.org/10.1007/s00894-021-04732-1 |
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author | Paul, Debarati Basu, Debadrita Ghosh Dastidar, Shubhra |
author_facet | Paul, Debarati Basu, Debadrita Ghosh Dastidar, Shubhra |
author_sort | Paul, Debarati |
collection | PubMed |
description | The COVID-19 main protease (Mpro), one of the conserved proteins of the novel coronavirus is crucial for its replication and so is a very lucrative drug target. Till now, there is no drug molecule that has been convincingly identified as the inhibitor of the function of this protein. The current pandemic situation demands a shortcut to quickly reach to a lead compound or a drug, which may not be the best but might serve as an interim solution at least. Following this notion, the present investigation uses virtual screening to find a molecule which is alraedy approved as a drug for some other disease but could be repurposed to inhibit Mpro. The potential of the present method of work to identify such a molecule, which otherwise would have been missed out, lies in the fact that instead of just using the crystallographically identified conformation of the receptor’s ligand binding pocket, molecular dynamics generated ensemble of conformations has been used. It implicitly included the possibilities of “induced-fit” and/or “population shift” mechanisms of ligand fitting. As a result, the investigation has not only identified antiviral drugs like ribavirin, ritonavir, etc., but it has also captured a wide variety of drugs for various other diseases like amrubicin, cangrelor, desmopressin, diosmin, etc. as the potent possibilities. Some of these ligands are versatile to form stable interactions with various different conformations of the receptor and therefore have been statistically surfaced in the investigation. Overall the investigation offers a wide range of compounds for further testing to confirm their scopes of applications to combat the COVID-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-021-04732-1. |
format | Online Article Text |
id | pubmed-8052536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80525362021-04-19 Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 Paul, Debarati Basu, Debadrita Ghosh Dastidar, Shubhra J Mol Model Original Paper The COVID-19 main protease (Mpro), one of the conserved proteins of the novel coronavirus is crucial for its replication and so is a very lucrative drug target. Till now, there is no drug molecule that has been convincingly identified as the inhibitor of the function of this protein. The current pandemic situation demands a shortcut to quickly reach to a lead compound or a drug, which may not be the best but might serve as an interim solution at least. Following this notion, the present investigation uses virtual screening to find a molecule which is alraedy approved as a drug for some other disease but could be repurposed to inhibit Mpro. The potential of the present method of work to identify such a molecule, which otherwise would have been missed out, lies in the fact that instead of just using the crystallographically identified conformation of the receptor’s ligand binding pocket, molecular dynamics generated ensemble of conformations has been used. It implicitly included the possibilities of “induced-fit” and/or “population shift” mechanisms of ligand fitting. As a result, the investigation has not only identified antiviral drugs like ribavirin, ritonavir, etc., but it has also captured a wide variety of drugs for various other diseases like amrubicin, cangrelor, desmopressin, diosmin, etc. as the potent possibilities. Some of these ligands are versatile to form stable interactions with various different conformations of the receptor and therefore have been statistically surfaced in the investigation. Overall the investigation offers a wide range of compounds for further testing to confirm their scopes of applications to combat the COVID-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-021-04732-1. Springer Berlin Heidelberg 2021-04-17 2021 /pmc/articles/PMC8052536/ /pubmed/33864532 http://dx.doi.org/10.1007/s00894-021-04732-1 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 | Original Paper Paul, Debarati Basu, Debadrita Ghosh Dastidar, Shubhra Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title | Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title_full | Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title_fullStr | Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title_full_unstemmed | Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title_short | Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19 |
title_sort | multi-conformation representation of mpro identifies promising candidates for drug repurposing against covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052536/ https://www.ncbi.nlm.nih.gov/pubmed/33864532 http://dx.doi.org/10.1007/s00894-021-04732-1 |
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