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Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach
ABSTRACT: The Corona virus Disease (COVID-19) is caused because of novel coronavirus (SARS-CoV-2) pathogen detected in China for the first time, and from there it spread across the globe creating a worldwide pandemic of severe respiratory complications. The virus requires structural and non-structur...
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/PMC7393348/ https://www.ncbi.nlm.nih.gov/pubmed/32737681 http://dx.doi.org/10.1007/s11030-020-10130-1 |
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author | Kanhed, Ashish M. Patel, Dushyant V. Teli, Divya M. Patel, Nirav R. Chhabria, Mahesh T. Yadav, Mange Ram |
author_facet | Kanhed, Ashish M. Patel, Dushyant V. Teli, Divya M. Patel, Nirav R. Chhabria, Mahesh T. Yadav, Mange Ram |
author_sort | Kanhed, Ashish M. |
collection | PubMed |
description | ABSTRACT: The Corona virus Disease (COVID-19) is caused because of novel coronavirus (SARS-CoV-2) pathogen detected in China for the first time, and from there it spread across the globe creating a worldwide pandemic of severe respiratory complications. The virus requires structural and non-structural proteins for its multiplication that are produced from polyproteins obtained by translation of its genomic RNA. These polyproteins are converted into structural and non-structural proteins mainly by the main protease (Mpro). A systematic screening of a drug library (having drugs and diagnostic agents which are approved by FDA or other world authorities) and the Asinex BioDesign library was carried out using pharmacophore and sequential conformational precision level filters using the Schrodinger Suite. From the screening of approved drug library, three antiviral agents ritonavir, nelfinavir and saquinavir were predicted to be the most potent Mpro inhibitors. Apart from these pralmorelin, iodixanol and iotrolan were also identified from the systematic screening. As iodixanol and iotrolan carry some limitations, structural modifications in them could lead to stable and safer antiviral agents. Screenings of Asinex BioDesign library resulted in 20 molecules exhibiting promising interactions with the target protein Mpro. They can broadly be categorized into four classes based on the nature of the scaffold, viz. disubstituted pyrazoles, cyclic amides, pyrrolidine-based compounds and miscellaneous derivatives. These could be used as potential molecules or hits for further drug development to obtain clinically useful therapeutic agents for the treatment of COVID-19. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11030-020-10130-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7393348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73933482020-07-31 Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach Kanhed, Ashish M. Patel, Dushyant V. Teli, Divya M. Patel, Nirav R. Chhabria, Mahesh T. Yadav, Mange Ram Mol Divers Original Article ABSTRACT: The Corona virus Disease (COVID-19) is caused because of novel coronavirus (SARS-CoV-2) pathogen detected in China for the first time, and from there it spread across the globe creating a worldwide pandemic of severe respiratory complications. The virus requires structural and non-structural proteins for its multiplication that are produced from polyproteins obtained by translation of its genomic RNA. These polyproteins are converted into structural and non-structural proteins mainly by the main protease (Mpro). A systematic screening of a drug library (having drugs and diagnostic agents which are approved by FDA or other world authorities) and the Asinex BioDesign library was carried out using pharmacophore and sequential conformational precision level filters using the Schrodinger Suite. From the screening of approved drug library, three antiviral agents ritonavir, nelfinavir and saquinavir were predicted to be the most potent Mpro inhibitors. Apart from these pralmorelin, iodixanol and iotrolan were also identified from the systematic screening. As iodixanol and iotrolan carry some limitations, structural modifications in them could lead to stable and safer antiviral agents. Screenings of Asinex BioDesign library resulted in 20 molecules exhibiting promising interactions with the target protein Mpro. They can broadly be categorized into four classes based on the nature of the scaffold, viz. disubstituted pyrazoles, cyclic amides, pyrrolidine-based compounds and miscellaneous derivatives. These could be used as potential molecules or hits for further drug development to obtain clinically useful therapeutic agents for the treatment of COVID-19. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11030-020-10130-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-07-31 2021 /pmc/articles/PMC7393348/ /pubmed/32737681 http://dx.doi.org/10.1007/s11030-020-10130-1 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 Kanhed, Ashish M. Patel, Dushyant V. Teli, Divya M. Patel, Nirav R. Chhabria, Mahesh T. Yadav, Mange Ram Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title | Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title_full | Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title_fullStr | Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title_full_unstemmed | Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title_short | Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach |
title_sort | identification of potential mpro inhibitors for the treatment of covid-19 by using systematic virtual screening approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393348/ https://www.ncbi.nlm.nih.gov/pubmed/32737681 http://dx.doi.org/10.1007/s11030-020-10130-1 |
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