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Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis

The new SARS-CoV-2 coronavirus is the causative agent of the COVID-19 pandemic outbreak that affected more than 190 countries worldwide with more than 292,000 confirmed cases and over 12,700 deaths. There is at the moment no vaccine or effective treatment for this disease which constitutes a serious...

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Autores principales: Hakmi, Mohammed, Bouricha, El Mehdi, Kandoussi, Ilham, Harti, Jaouad El, Ibrahimi, Azeddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392094/
https://www.ncbi.nlm.nih.gov/pubmed/32773989
http://dx.doi.org/10.6026/97320630016301
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author Hakmi, Mohammed
Bouricha, El Mehdi
Kandoussi, Ilham
Harti, Jaouad El
Ibrahimi, Azeddine
author_facet Hakmi, Mohammed
Bouricha, El Mehdi
Kandoussi, Ilham
Harti, Jaouad El
Ibrahimi, Azeddine
author_sort Hakmi, Mohammed
collection PubMed
description The new SARS-CoV-2 coronavirus is the causative agent of the COVID-19 pandemic outbreak that affected more than 190 countries worldwide with more than 292,000 confirmed cases and over 12,700 deaths. There is at the moment no vaccine or effective treatment for this disease which constitutes a serious global health problem. It is of interest to use a structure based virtual screening approach for the identification of potential inhibitors of the main protease of SARS-CoV-2 (M(pro)) from antiviral drugs used to treat other viral disease such as human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infections. The crystallographic structure with PDB ID: 6LU7 of M(pro) in complex with the inhibitor N3 was used as a model in the virtual screening of 33 protease inhibitors collected from the ChEMBL chemical database. Molecular docking analysis was performed using the standard AutoDock vina protocol followed by ranking and selection of compounds based on their binding affinity. We report 10 candidates with optimal binding features to the active site of the protease for further consideration as potential drugs to treat patients infected with the emerging COVID-19 disease.
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spelling pubmed-73920942020-08-06 Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis Hakmi, Mohammed Bouricha, El Mehdi Kandoussi, Ilham Harti, Jaouad El Ibrahimi, Azeddine Bioinformation Research-Article The new SARS-CoV-2 coronavirus is the causative agent of the COVID-19 pandemic outbreak that affected more than 190 countries worldwide with more than 292,000 confirmed cases and over 12,700 deaths. There is at the moment no vaccine or effective treatment for this disease which constitutes a serious global health problem. It is of interest to use a structure based virtual screening approach for the identification of potential inhibitors of the main protease of SARS-CoV-2 (M(pro)) from antiviral drugs used to treat other viral disease such as human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infections. The crystallographic structure with PDB ID: 6LU7 of M(pro) in complex with the inhibitor N3 was used as a model in the virtual screening of 33 protease inhibitors collected from the ChEMBL chemical database. Molecular docking analysis was performed using the standard AutoDock vina protocol followed by ranking and selection of compounds based on their binding affinity. We report 10 candidates with optimal binding features to the active site of the protease for further consideration as potential drugs to treat patients infected with the emerging COVID-19 disease. Biomedical Informatics 2020-04-30 /pmc/articles/PMC7392094/ /pubmed/32773989 http://dx.doi.org/10.6026/97320630016301 Text en © 2020 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research-Article
Hakmi, Mohammed
Bouricha, El Mehdi
Kandoussi, Ilham
Harti, Jaouad El
Ibrahimi, Azeddine
Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title_full Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title_fullStr Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title_full_unstemmed Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title_short Repurposing of known anti-virals as potential inhibitors for SARS-CoV-2 main protease using molecular docking analysis
title_sort repurposing of known anti-virals as potential inhibitors for sars-cov-2 main protease using molecular docking analysis
topic Research-Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392094/
https://www.ncbi.nlm.nih.gov/pubmed/32773989
http://dx.doi.org/10.6026/97320630016301
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