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Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach

COVID-19 is a disease that puts most of the world on lockdown and the search for therapeutic drugs is still ongoing. Therefore, this study used in silico screening to identify natural bioactive compounds from fruits, herbaceous plants, and marine invertebrates that are able to inhibit protease activ...

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Autores principales: Bharadwaj, Kaushik Kumar, Sarkar, Tanmay, Ghosh, Arabinda, Baishya, Debabrat, Rabha, Bijuli, Panda, Manasa Kumar, Nelson, Bryan Raveen, John, Akbar B., Sheikh, Hassan I., Dash, Bisnu Prasad, Edinur, Hisham Atan, Pati, Siddhartha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248955/
https://www.ncbi.nlm.nih.gov/pubmed/34212286
http://dx.doi.org/10.1007/s12010-021-03608-7
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author Bharadwaj, Kaushik Kumar
Sarkar, Tanmay
Ghosh, Arabinda
Baishya, Debabrat
Rabha, Bijuli
Panda, Manasa Kumar
Nelson, Bryan Raveen
John, Akbar B.
Sheikh, Hassan I.
Dash, Bisnu Prasad
Edinur, Hisham Atan
Pati, Siddhartha
author_facet Bharadwaj, Kaushik Kumar
Sarkar, Tanmay
Ghosh, Arabinda
Baishya, Debabrat
Rabha, Bijuli
Panda, Manasa Kumar
Nelson, Bryan Raveen
John, Akbar B.
Sheikh, Hassan I.
Dash, Bisnu Prasad
Edinur, Hisham Atan
Pati, Siddhartha
author_sort Bharadwaj, Kaushik Kumar
collection PubMed
description COVID-19 is a disease that puts most of the world on lockdown and the search for therapeutic drugs is still ongoing. Therefore, this study used in silico screening to identify natural bioactive compounds from fruits, herbaceous plants, and marine invertebrates that are able to inhibit protease activity in SARS-CoV-2 (PDB: 6LU7). We have used extensive screening strategies such as drug likeliness, antiviral activity value prediction, molecular docking, ADME, molecular dynamics (MD) simulation, and MM/GBSA. A total of 17 compounds were shortlisted using Lipinski’s rule in which 5 compounds showed significant predicted antiviral activity values. Among these 5, only 2 compounds, Macrolactin A and Stachyflin, showed good binding energy of −9.22 and −8.00 kcal/mol, respectively, within the binding pocket of the M(pro) catalytic residues (HIS 41 and CYS 145). These two compounds were further analyzed to determine their ADME properties. The ADME evaluation of these 2 compounds suggested that they could be effective in developing therapeutic drugs to be used in clinical trials. MD simulations showed that protein–ligand complexes of Macrolactin A and Stachyflin with the target receptor (6LU7) were stable for 100 nanoseconds. The MM/GBSA calculations of M(pro)–Macrolactin A complex indicated higher binding free energy (−42.58 ± 6.35 kcal/mol). Dynamic cross-correlation matrix (DCCM) and principal component analysis (PCA) on the residual movement in the MD trajectories further confirmed the stability of Macrolactin A bound state with 6LU7. In conclusion, this study showed that marine natural compound Macrolactin A could be an effective therapeutic inhibitor against SARS-CoV-2 protease (6LU7). Additional in vitro and in vivo validations are strongly needed to determine the efficacy and therapeutic dose of Macrolactin A in biological systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12010-021-03608-7.
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spelling pubmed-82489552021-07-02 Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach Bharadwaj, Kaushik Kumar Sarkar, Tanmay Ghosh, Arabinda Baishya, Debabrat Rabha, Bijuli Panda, Manasa Kumar Nelson, Bryan Raveen John, Akbar B. Sheikh, Hassan I. Dash, Bisnu Prasad Edinur, Hisham Atan Pati, Siddhartha Appl Biochem Biotechnol Original Article COVID-19 is a disease that puts most of the world on lockdown and the search for therapeutic drugs is still ongoing. Therefore, this study used in silico screening to identify natural bioactive compounds from fruits, herbaceous plants, and marine invertebrates that are able to inhibit protease activity in SARS-CoV-2 (PDB: 6LU7). We have used extensive screening strategies such as drug likeliness, antiviral activity value prediction, molecular docking, ADME, molecular dynamics (MD) simulation, and MM/GBSA. A total of 17 compounds were shortlisted using Lipinski’s rule in which 5 compounds showed significant predicted antiviral activity values. Among these 5, only 2 compounds, Macrolactin A and Stachyflin, showed good binding energy of −9.22 and −8.00 kcal/mol, respectively, within the binding pocket of the M(pro) catalytic residues (HIS 41 and CYS 145). These two compounds were further analyzed to determine their ADME properties. The ADME evaluation of these 2 compounds suggested that they could be effective in developing therapeutic drugs to be used in clinical trials. MD simulations showed that protein–ligand complexes of Macrolactin A and Stachyflin with the target receptor (6LU7) were stable for 100 nanoseconds. The MM/GBSA calculations of M(pro)–Macrolactin A complex indicated higher binding free energy (−42.58 ± 6.35 kcal/mol). Dynamic cross-correlation matrix (DCCM) and principal component analysis (PCA) on the residual movement in the MD trajectories further confirmed the stability of Macrolactin A bound state with 6LU7. In conclusion, this study showed that marine natural compound Macrolactin A could be an effective therapeutic inhibitor against SARS-CoV-2 protease (6LU7). Additional in vitro and in vivo validations are strongly needed to determine the efficacy and therapeutic dose of Macrolactin A in biological systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12010-021-03608-7. Springer US 2021-07-01 2021 /pmc/articles/PMC8248955/ /pubmed/34212286 http://dx.doi.org/10.1007/s12010-021-03608-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Bharadwaj, Kaushik Kumar
Sarkar, Tanmay
Ghosh, Arabinda
Baishya, Debabrat
Rabha, Bijuli
Panda, Manasa Kumar
Nelson, Bryan Raveen
John, Akbar B.
Sheikh, Hassan I.
Dash, Bisnu Prasad
Edinur, Hisham Atan
Pati, Siddhartha
Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title_full Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title_fullStr Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title_full_unstemmed Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title_short Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M(pro): Bioinformatics Approach
title_sort macrolactin a as a novel inhibitory agent for sars-cov-2 m(pro): bioinformatics approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248955/
https://www.ncbi.nlm.nih.gov/pubmed/34212286
http://dx.doi.org/10.1007/s12010-021-03608-7
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