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Network Modeling Analysis in Health Informatics and Bioinformatics

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01-12-2021 | Original Article

Inhibitory effect of anti-HIV compounds extracted from Indian medicinal plants to retard the replication and transcription process of SARS-CoV-2: an insight from molecular docking and MD-simulation studies

Authors: Tanmoy Dutta, Nabajyoti Baildya, Abdul Ashik Khan, Narendra Nath Ghosh

Published in: Network Modeling Analysis in Health Informatics and Bioinformatics | Issue 1/2021

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Abstract

Outbreak of Coronavirus (SARS-CoV-2) has thrown a big challenge to the globe by snatching millions of human lives from the world. In this study, inhibitory efficiency of ten anti-HIV compounds from different Indian medicinal plant parts have been virtually screened against Mpro, PLpro and RdRp proteins of SARS-CoV-2. The molecular docking study reflected that among these compounds, Proptine (PTP) has the highest binding affinity for the three cases. Introduction of PTP molecules within the binding pocket of these proteins showed a large structural and conformational changes on the structure of proteins which is revealed from molecular dynamics (MD) simulation studies. RMSD, RMSF and analysis of thermodynamic parameters also revealed that PTP makes a huge impact on the structures of the respective proteins which will pave an opportunity for doing advanced experimental research to evaluate the potential drug to combat COVID-19.

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Title: Inhibitory effect of anti-HIV compounds extracted from Indian medicinal plants to retard the replication and transcription process of SARS-CoV-2: an insight from molecular docking and MD-simulation studies
Authors: Tanmoy Dutta
Nabajyoti Baildya
Abdul Ashik Khan
Narendra Nath Ghosh
Publication date: 01-12-2021
Publisher: Springer Vienna
Published in: Network Modeling Analysis in Health Informatics and Bioinformatics / Issue 1/2021
Print ISSN: 2192-6662
Electronic ISSN: 2192-6670
DOI: https://doi.org/10.1007/s13721-021-00309-3

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