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Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches

The current ongoing pandemic of COVID-19 urges immediate treatment measures for controlling the highly contagious SARS-CoV-2 infections. The papain-like protease (PLpro), which is released from nsp3, is presently being evaluated as a significant anti-viral drug target for COVID-19 therapy developmen...

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Autores principales: Bhowmick, Shovonlal, Saha, Achintya, AlFaris, Nora Abdullah, ALTamimi, Jozaa Zaidan, ALOthman, Zeid A., Aldayel, Tahany Saleh, Wabaidur, Saikh Mohammad, Islam, Md Ataul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688376/
https://www.ncbi.nlm.nih.gov/pubmed/34959151
http://dx.doi.org/10.1016/j.jmgm.2021.108113
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author Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
author_facet Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
author_sort Bhowmick, Shovonlal
collection PubMed
description The current ongoing pandemic of COVID-19 urges immediate treatment measures for controlling the highly contagious SARS-CoV-2 infections. The papain-like protease (PLpro), which is released from nsp3, is presently being evaluated as a significant anti-viral drug target for COVID-19 therapy development. Particularly, PLpro is implicated in the cleavage of viral polyproteins and antagonizes the host innate immune response through its deubiquitinating and deISGylating actions, thus making it a high-profile antiviral therapeutic target. The present study reports a few specific food compounds that can bind tightly with the SARS-CoV-2 PLpro protein identified through extensive computational screening techniques. Precisely, extensive advanced computational approaches combining target-based virtual screening, particularly employing sub-structure based similarity search, molecular docking, molecular dynamics (MD) simulations, and MM-GBSA based binding free energy calculations have been employed for the identification of the most promising food compounds with substantial functional implications as SARS-CoV-2 PLpro protein inhibitors/modulators. Observations from the present research investigation also provide a deeper understanding of the binding modes of the proposed four food compounds with SARS-CoV-2 PLpro protein. In docking analyses, all compounds have established essential inter-molecular interaction profiles at the active site cavity of the SARS-CoV-2 PLpro protein. Similarly, the long-range 100 ns conventional MD simulation studies also provided an in-depth understanding of probable interactions and dynamic behaviour of the SARS-CoV-2 PLpro protein-food compound complexes. Binding free energies of all molecular systems revealed a strong interaction affinity of food compounds towards the SARS-CoV-2 PLpro protein. Moreover, clear-cut comparative analyses against the known standard inhibitor also suggest that proposed food compounds may act as potential active chemical entities for modulating the action of the SARS-CoV-2 PLpro protein.
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spelling pubmed-86883762021-12-21 Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches Bhowmick, Shovonlal Saha, Achintya AlFaris, Nora Abdullah ALTamimi, Jozaa Zaidan ALOthman, Zeid A. Aldayel, Tahany Saleh Wabaidur, Saikh Mohammad Islam, Md Ataul J Mol Graph Model Article The current ongoing pandemic of COVID-19 urges immediate treatment measures for controlling the highly contagious SARS-CoV-2 infections. The papain-like protease (PLpro), which is released from nsp3, is presently being evaluated as a significant anti-viral drug target for COVID-19 therapy development. Particularly, PLpro is implicated in the cleavage of viral polyproteins and antagonizes the host innate immune response through its deubiquitinating and deISGylating actions, thus making it a high-profile antiviral therapeutic target. The present study reports a few specific food compounds that can bind tightly with the SARS-CoV-2 PLpro protein identified through extensive computational screening techniques. Precisely, extensive advanced computational approaches combining target-based virtual screening, particularly employing sub-structure based similarity search, molecular docking, molecular dynamics (MD) simulations, and MM-GBSA based binding free energy calculations have been employed for the identification of the most promising food compounds with substantial functional implications as SARS-CoV-2 PLpro protein inhibitors/modulators. Observations from the present research investigation also provide a deeper understanding of the binding modes of the proposed four food compounds with SARS-CoV-2 PLpro protein. In docking analyses, all compounds have established essential inter-molecular interaction profiles at the active site cavity of the SARS-CoV-2 PLpro protein. Similarly, the long-range 100 ns conventional MD simulation studies also provided an in-depth understanding of probable interactions and dynamic behaviour of the SARS-CoV-2 PLpro protein-food compound complexes. Binding free energies of all molecular systems revealed a strong interaction affinity of food compounds towards the SARS-CoV-2 PLpro protein. Moreover, clear-cut comparative analyses against the known standard inhibitor also suggest that proposed food compounds may act as potential active chemical entities for modulating the action of the SARS-CoV-2 PLpro protein. Elsevier Inc. 2022-03 2021-12-21 /pmc/articles/PMC8688376/ /pubmed/34959151 http://dx.doi.org/10.1016/j.jmgm.2021.108113 Text en © 2021 Elsevier Inc. 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
Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title_full Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title_fullStr Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title_full_unstemmed Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title_short Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches
title_sort identification of potent food constituents as sars-cov-2 papain-like protease modulators through advanced pharmacoinformatics approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688376/
https://www.ncbi.nlm.nih.gov/pubmed/34959151
http://dx.doi.org/10.1016/j.jmgm.2021.108113
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