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Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants

BACKGROUND: COVID-19, declared a pandemic in March 2020 by the World Health Organization is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus has already killed more than 2.3 million people worldwide. OBJECT: The principal intent of this work was to investigate lead c...

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Autores principales: Muhammad, Ijaz, Rahman, Noor, Gul-E-Nayab, Niaz, Sadaf, Basharat, Zarrin, Rastrelli, Luca, Jayanthi, Sivaraman, Efferth, Thomas, Khan, Haroon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051016/
https://www.ncbi.nlm.nih.gov/pubmed/33894500
http://dx.doi.org/10.1016/j.compbiomed.2021.104362
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author Muhammad, Ijaz
Rahman, Noor
Gul-E-Nayab
Niaz, Sadaf
Basharat, Zarrin
Rastrelli, Luca
Jayanthi, Sivaraman
Efferth, Thomas
Khan, Haroon
author_facet Muhammad, Ijaz
Rahman, Noor
Gul-E-Nayab
Niaz, Sadaf
Basharat, Zarrin
Rastrelli, Luca
Jayanthi, Sivaraman
Efferth, Thomas
Khan, Haroon
author_sort Muhammad, Ijaz
collection PubMed
description BACKGROUND: COVID-19, declared a pandemic in March 2020 by the World Health Organization is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus has already killed more than 2.3 million people worldwide. OBJECT: The principal intent of this work was to investigate lead compounds by screening natural product library (NPASS) for possible treatment of COVID-19. METHODS: Pharmacophore features were used to screen a large database to get a small dataset for structure-based virtual screening of natural product compounds. In the structure-based screening, molecular docking was performed to find a potent inhibitor molecule against the main protease (M(pro)) of SARS-CoV-2 (PDB ID: 6Y7M). The predicted lead compound was further subjected to Molecular Dynamics (MD) simulation to check the stability of the leads compound with the evolution of time. RESULTS: In pharmacophore-based virtual screening, 2,361 compounds were retained out of 30,927. In the structure-based screening, the lead compounds were filtered based on their docking scores. Among the 2,360 compounds, 12 lead compounds were selected based on their docking score. Kazinol T with NPASS ID: NPC474104 showed the highest docking score of −14.355 and passed criteria of Lipinski's drug-like parameters. Monitoring ADMET properties, Kazinol T showed its safety for consumption. Docking of Kazinol T with two Asian mutants (R60C and I152V) showed variations in binding and energy parameters. Normal mode analysis for ligand-bound and unbound form of protease along with its mutants, revealed displacement and correlation parameters for C-alpha atoms. MD simulation results showed that all ligand-protein complexes remained intact and stable in a dynamic environment with negative Gibbs free energy. CONCLUSIONS: The natural product Kazinol T was a predicted lead compound against the main protease of SARS-CoV-2 and will be the possible treatment for COVID-19.
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spelling pubmed-80510162021-04-16 Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants Muhammad, Ijaz Rahman, Noor Gul-E-Nayab Niaz, Sadaf Basharat, Zarrin Rastrelli, Luca Jayanthi, Sivaraman Efferth, Thomas Khan, Haroon Comput Biol Med Article BACKGROUND: COVID-19, declared a pandemic in March 2020 by the World Health Organization is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The virus has already killed more than 2.3 million people worldwide. OBJECT: The principal intent of this work was to investigate lead compounds by screening natural product library (NPASS) for possible treatment of COVID-19. METHODS: Pharmacophore features were used to screen a large database to get a small dataset for structure-based virtual screening of natural product compounds. In the structure-based screening, molecular docking was performed to find a potent inhibitor molecule against the main protease (M(pro)) of SARS-CoV-2 (PDB ID: 6Y7M). The predicted lead compound was further subjected to Molecular Dynamics (MD) simulation to check the stability of the leads compound with the evolution of time. RESULTS: In pharmacophore-based virtual screening, 2,361 compounds were retained out of 30,927. In the structure-based screening, the lead compounds were filtered based on their docking scores. Among the 2,360 compounds, 12 lead compounds were selected based on their docking score. Kazinol T with NPASS ID: NPC474104 showed the highest docking score of −14.355 and passed criteria of Lipinski's drug-like parameters. Monitoring ADMET properties, Kazinol T showed its safety for consumption. Docking of Kazinol T with two Asian mutants (R60C and I152V) showed variations in binding and energy parameters. Normal mode analysis for ligand-bound and unbound form of protease along with its mutants, revealed displacement and correlation parameters for C-alpha atoms. MD simulation results showed that all ligand-protein complexes remained intact and stable in a dynamic environment with negative Gibbs free energy. CONCLUSIONS: The natural product Kazinol T was a predicted lead compound against the main protease of SARS-CoV-2 and will be the possible treatment for COVID-19. Elsevier Ltd. 2021-06 2021-04-16 /pmc/articles/PMC8051016/ /pubmed/33894500 http://dx.doi.org/10.1016/j.compbiomed.2021.104362 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Muhammad, Ijaz
Rahman, Noor
Gul-E-Nayab
Niaz, Sadaf
Basharat, Zarrin
Rastrelli, Luca
Jayanthi, Sivaraman
Efferth, Thomas
Khan, Haroon
Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title_full Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title_fullStr Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title_full_unstemmed Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title_short Screening of potent phytochemical inhibitors against SARS-CoV-2 protease and its two Asian mutants
title_sort screening of potent phytochemical inhibitors against sars-cov-2 protease and its two asian mutants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051016/
https://www.ncbi.nlm.nih.gov/pubmed/33894500
http://dx.doi.org/10.1016/j.compbiomed.2021.104362
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