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Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies

Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) Main protease (M(pro)) is one of the vital drug targets amongst all the coronaviruses, as the protein is indispensable for virus replication. The study aimed to identify promising lead molecules against M(pro) enzyme through virtual screen...

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Autores principales: Ahamad, Shahzaib, Kanipakam, Hema, Birla, Shweta, Ali, Md Shaukat, Gupta, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584923/
https://www.ncbi.nlm.nih.gov/pubmed/33131721
http://dx.doi.org/10.1016/j.ejphar.2020.173664
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author Ahamad, Shahzaib
Kanipakam, Hema
Birla, Shweta
Ali, Md Shaukat
Gupta, Dinesh
author_facet Ahamad, Shahzaib
Kanipakam, Hema
Birla, Shweta
Ali, Md Shaukat
Gupta, Dinesh
author_sort Ahamad, Shahzaib
collection PubMed
description Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) Main protease (M(pro)) is one of the vital drug targets amongst all the coronaviruses, as the protein is indispensable for virus replication. The study aimed to identify promising lead molecules against M(pro) enzyme through virtual screening of Malaria Venture (MMV) Malaria Box (MB) comprising of 400 experimentally proven compounds. The binding affinities were studied using virtual screening based molecular docking, which revealed five molecules having the highest affinity scores compared to the reference molecules. Utilizing the established 3D structure of M(pro) the binding affinity conformations of the docked complexes were studied by Molecular Dynamics (MD) simulations. The MD simulation trajectories were analysed to monitor protein deviation, relative fluctuation, atomic gyration, compactness covariance, residue-residue map and free energy landscapes. Based on the present study outcome, we propose three Malaria_box (MB) compounds, namely, MB_241, MB_250 and MB_266 to be the best lead compounds against M(pro) activity. The compounds may be evaluated for their inhibitory activities using experimental techniques.
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spelling pubmed-75849232020-10-26 Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies Ahamad, Shahzaib Kanipakam, Hema Birla, Shweta Ali, Md Shaukat Gupta, Dinesh Eur J Pharmacol Full Length Article Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) Main protease (M(pro)) is one of the vital drug targets amongst all the coronaviruses, as the protein is indispensable for virus replication. The study aimed to identify promising lead molecules against M(pro) enzyme through virtual screening of Malaria Venture (MMV) Malaria Box (MB) comprising of 400 experimentally proven compounds. The binding affinities were studied using virtual screening based molecular docking, which revealed five molecules having the highest affinity scores compared to the reference molecules. Utilizing the established 3D structure of M(pro) the binding affinity conformations of the docked complexes were studied by Molecular Dynamics (MD) simulations. The MD simulation trajectories were analysed to monitor protein deviation, relative fluctuation, atomic gyration, compactness covariance, residue-residue map and free energy landscapes. Based on the present study outcome, we propose three Malaria_box (MB) compounds, namely, MB_241, MB_250 and MB_266 to be the best lead compounds against M(pro) activity. The compounds may be evaluated for their inhibitory activities using experimental techniques. Elsevier B.V. 2021-01-05 2020-10-24 /pmc/articles/PMC7584923/ /pubmed/33131721 http://dx.doi.org/10.1016/j.ejphar.2020.173664 Text en © 2020 Elsevier B.V. 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 Full Length Article
Ahamad, Shahzaib
Kanipakam, Hema
Birla, Shweta
Ali, Md Shaukat
Gupta, Dinesh
Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title_full Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title_fullStr Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title_full_unstemmed Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title_short Screening Malaria-box compounds to identify potential inhibitors against SARS-CoV-2 M(pro), using molecular docking and dynamics simulation studies
title_sort screening malaria-box compounds to identify potential inhibitors against sars-cov-2 m(pro), using molecular docking and dynamics simulation studies
topic Full Length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584923/
https://www.ncbi.nlm.nih.gov/pubmed/33131721
http://dx.doi.org/10.1016/j.ejphar.2020.173664
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