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Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19

SARS-CoV-2, a rapidly spreading new strain of human coronavirus, has affected almost all the countries around the world. The lack of specific drugs against SARS-CoV-2 is a significant hurdle towards the successful treatment of COVID-19. Thus, there is an urgent need to boost up research for the deve...

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Autores principales: Adem, Şevki, Eyupoglu, Volkan, Ibrahim, Ibrahim M., Sarfraz, Iqra, Rasul, Azhar, Ali, Muhammad, Elfiky, Abdo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957318/
https://www.ncbi.nlm.nih.gov/pubmed/35364308
http://dx.doi.org/10.1016/j.compbiomed.2022.105452
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author Adem, Şevki
Eyupoglu, Volkan
Ibrahim, Ibrahim M.
Sarfraz, Iqra
Rasul, Azhar
Ali, Muhammad
Elfiky, Abdo A.
author_facet Adem, Şevki
Eyupoglu, Volkan
Ibrahim, Ibrahim M.
Sarfraz, Iqra
Rasul, Azhar
Ali, Muhammad
Elfiky, Abdo A.
author_sort Adem, Şevki
collection PubMed
description SARS-CoV-2, a rapidly spreading new strain of human coronavirus, has affected almost all the countries around the world. The lack of specific drugs against SARS-CoV-2 is a significant hurdle towards the successful treatment of COVID-19. Thus, there is an urgent need to boost up research for the development of effective therapeutics against COVID-19. In the current study, we investigated the efficacy of 81 medicinal plant-based bioactive compounds against SARS-CoV-2 M(pro) by using various in silico techniques. The interaction affinities of polyphenolic compounds towards SARS-CoV-2 M(pro) was assessed via intramolecular (by Quantum Mechanic), intermolecular (by Molecular Docking), and spatial (by Molecular Dynamic) simulations. Our obtained result demonstrate that Hesperidin, rutin, diosmin, and apiin are most effective compounds agents against SARS-CoV-2 Mpro as compared to Nelfinavir (positive control). This study will hopefully pave a way for advanced experimental research to evaluate the in vitro and in vivo efficacy of these compounds for the treatment of COVID-19.
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spelling pubmed-89573182022-03-28 Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19 Adem, Şevki Eyupoglu, Volkan Ibrahim, Ibrahim M. Sarfraz, Iqra Rasul, Azhar Ali, Muhammad Elfiky, Abdo A. Comput Biol Med Article SARS-CoV-2, a rapidly spreading new strain of human coronavirus, has affected almost all the countries around the world. The lack of specific drugs against SARS-CoV-2 is a significant hurdle towards the successful treatment of COVID-19. Thus, there is an urgent need to boost up research for the development of effective therapeutics against COVID-19. In the current study, we investigated the efficacy of 81 medicinal plant-based bioactive compounds against SARS-CoV-2 M(pro) by using various in silico techniques. The interaction affinities of polyphenolic compounds towards SARS-CoV-2 M(pro) was assessed via intramolecular (by Quantum Mechanic), intermolecular (by Molecular Docking), and spatial (by Molecular Dynamic) simulations. Our obtained result demonstrate that Hesperidin, rutin, diosmin, and apiin are most effective compounds agents against SARS-CoV-2 Mpro as compared to Nelfinavir (positive control). This study will hopefully pave a way for advanced experimental research to evaluate the in vitro and in vivo efficacy of these compounds for the treatment of COVID-19. Elsevier Ltd. 2022-06 2022-03-26 /pmc/articles/PMC8957318/ /pubmed/35364308 http://dx.doi.org/10.1016/j.compbiomed.2022.105452 Text en © 2022 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
Adem, Şevki
Eyupoglu, Volkan
Ibrahim, Ibrahim M.
Sarfraz, Iqra
Rasul, Azhar
Ali, Muhammad
Elfiky, Abdo A.
Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title_full Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title_fullStr Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title_full_unstemmed Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title_short Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M(pro)) inhibitors to unveil a hope against COVID-19
title_sort multidimensional in silico strategy for identification of natural polyphenols-based sars-cov-2 main protease (m(pro)) inhibitors to unveil a hope against covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957318/
https://www.ncbi.nlm.nih.gov/pubmed/35364308
http://dx.doi.org/10.1016/j.compbiomed.2022.105452
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