Cargando…

In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach

SARS-CoV-2, a deadly coronavirus sparked COVID-19 pandemic around the globe. With an increased mutation rate, this infectious agent is highly transmissible inducing an escalated rate of infections and death everywhere. Hence, the discovery of a viable antiviral therapy option is urgent. Computationa...

Descripción completa

Detalles Bibliográficos
Autores principales: Halder, Sajal Kumar, Sultana, Ive, Shuvo, Md Nazmussakib, Shil, Aparna, Himel, Mahbubul Kabir, Hasan, Md. Ashraful, Shawan, Mohammad Mahfuz Ali Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195178/
https://www.ncbi.nlm.nih.gov/pubmed/37214084
http://dx.doi.org/10.1155/2023/5469258
_version_ 1785044170148151296
author Halder, Sajal Kumar
Sultana, Ive
Shuvo, Md Nazmussakib
Shil, Aparna
Himel, Mahbubul Kabir
Hasan, Md. Ashraful
Shawan, Mohammad Mahfuz Ali Khan
author_facet Halder, Sajal Kumar
Sultana, Ive
Shuvo, Md Nazmussakib
Shil, Aparna
Himel, Mahbubul Kabir
Hasan, Md. Ashraful
Shawan, Mohammad Mahfuz Ali Khan
author_sort Halder, Sajal Kumar
collection PubMed
description SARS-CoV-2, a deadly coronavirus sparked COVID-19 pandemic around the globe. With an increased mutation rate, this infectious agent is highly transmissible inducing an escalated rate of infections and death everywhere. Hence, the discovery of a viable antiviral therapy option is urgent. Computational approaches have offered a revolutionary framework to identify novel antimicrobial treatment regimens and allow a quicker, cost-effective, and productive conversion into the health center by evaluating preliminary and safety investigations. The primary purpose of this research was to find plausible plant-derived antiviral small molecules to halt the viral entrance into individuals by clogging the adherence of Spike protein with human ACE2 receptor and to suppress their genome replication by obstructing the activity of Nsp3 (Nonstructural protein 3) and 3CLpro (main protease). An in-house library of 1163 phytochemicals were selected from the NPASS and PubChem databases for downstream analysis. Preliminary analysis with SwissADME and pkCSM revealed 149 finest small molecules from the large dataset. Virtual screening using the molecular docking scoring and the MM-GBSA data analysis revealed that three candidate ligands CHEMBL503 (Lovastatin), CHEMBL490355 (Sulfuretin), and CHEMBL4216332 (Grayanoside A) successfully formed docked complex within the active site of human ACE2 receptor, Nsp3, and 3CLpro, respectively. Dual method molecular dynamics (MD) simulation and post-MD MM-GBSA further confirmed efficient binding and stable interaction between the ligands and target proteins. Furthermore, biological activity spectra and molecular target analysis revealed that all three preselected phytochemicals were biologically active and safe for human use. Throughout the adopted methodology, all three therapeutic candidates significantly outperformed the control drugs (Molnupiravir and Paxlovid). Finally, our research implies that these SARS-CoV-2 protein antagonists might be viable therapeutic options. At the same time, enough wet lab evaluations would be needed to ensure the therapeutic potency of the recommended drug candidates for SARS-CoV-2.
format Online
Article
Text
id pubmed-10195178
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-101951782023-05-19 In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach Halder, Sajal Kumar Sultana, Ive Shuvo, Md Nazmussakib Shil, Aparna Himel, Mahbubul Kabir Hasan, Md. Ashraful Shawan, Mohammad Mahfuz Ali Khan Biomed Res Int Research Article SARS-CoV-2, a deadly coronavirus sparked COVID-19 pandemic around the globe. With an increased mutation rate, this infectious agent is highly transmissible inducing an escalated rate of infections and death everywhere. Hence, the discovery of a viable antiviral therapy option is urgent. Computational approaches have offered a revolutionary framework to identify novel antimicrobial treatment regimens and allow a quicker, cost-effective, and productive conversion into the health center by evaluating preliminary and safety investigations. The primary purpose of this research was to find plausible plant-derived antiviral small molecules to halt the viral entrance into individuals by clogging the adherence of Spike protein with human ACE2 receptor and to suppress their genome replication by obstructing the activity of Nsp3 (Nonstructural protein 3) and 3CLpro (main protease). An in-house library of 1163 phytochemicals were selected from the NPASS and PubChem databases for downstream analysis. Preliminary analysis with SwissADME and pkCSM revealed 149 finest small molecules from the large dataset. Virtual screening using the molecular docking scoring and the MM-GBSA data analysis revealed that three candidate ligands CHEMBL503 (Lovastatin), CHEMBL490355 (Sulfuretin), and CHEMBL4216332 (Grayanoside A) successfully formed docked complex within the active site of human ACE2 receptor, Nsp3, and 3CLpro, respectively. Dual method molecular dynamics (MD) simulation and post-MD MM-GBSA further confirmed efficient binding and stable interaction between the ligands and target proteins. Furthermore, biological activity spectra and molecular target analysis revealed that all three preselected phytochemicals were biologically active and safe for human use. Throughout the adopted methodology, all three therapeutic candidates significantly outperformed the control drugs (Molnupiravir and Paxlovid). Finally, our research implies that these SARS-CoV-2 protein antagonists might be viable therapeutic options. At the same time, enough wet lab evaluations would be needed to ensure the therapeutic potency of the recommended drug candidates for SARS-CoV-2. Hindawi 2023-05-11 /pmc/articles/PMC10195178/ /pubmed/37214084 http://dx.doi.org/10.1155/2023/5469258 Text en Copyright © 2023 Sajal Kumar Halder et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Halder, Sajal Kumar
Sultana, Ive
Shuvo, Md Nazmussakib
Shil, Aparna
Himel, Mahbubul Kabir
Hasan, Md. Ashraful
Shawan, Mohammad Mahfuz Ali Khan
In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title_full In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title_fullStr In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title_full_unstemmed In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title_short In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach
title_sort in silico identification and analysis of potentially bioactive antiviral phytochemicals against sars-cov-2: a molecular docking and dynamics simulation approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195178/
https://www.ncbi.nlm.nih.gov/pubmed/37214084
http://dx.doi.org/10.1155/2023/5469258
work_keys_str_mv AT haldersajalkumar insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT sultanaive insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT shuvomdnazmussakib insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT shilaparna insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT himelmahbubulkabir insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT hasanmdashraful insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach
AT shawanmohammadmahfuzalikhan insilicoidentificationandanalysisofpotentiallybioactiveantiviralphytochemicalsagainstsarscov2amoleculardockinganddynamicssimulationapproach