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Pharmacophore based virtual screening, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective SARS-CoV-2 inhibitor from natural product databases

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dc.contributor.author Murugesan, Sankaranarayanan
dc.date.accessioned 2023-12-11T08:30:41Z
dc.date.available 2023-12-11T08:30:41Z
dc.date.issued 2020-09
dc.identifier.uri https://www.tandfonline.com/doi/full/10.1080/07391102.2020.1824814
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/13339
dc.description.abstract COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primarily appeared in Wuhan, China, in December 2019. At present, no proper therapy and vaccinations are available for the disease, and it is increasing day by day with a high mortality rate. Pharmacophore based virtual screening of the selected natural product databases followed by Glide molecular docking and dynamics studies against SARS-CoV-2 main protease was investigated to identify potential ligands that may act as inhibitors. The molecules SN00293542 and SN00382835 revealed the highest docking score of −14.57 and −12.42 kcal/mol, respectively, when compared with the co-crystal ligands of PDB-6Y2F (O6K) and 6W63 (X77) of the SARS-CoV-2 Mpro. To further validate the interactions of top scored molecules SN00293542 and SN00382835, molecular dynamics study of 100 ns was carried out. This indicated that the protein-ligand complex was stable throughout the simulation period, and minimal backbone fluctuations have ensued in the system. Post-MM-GBSA analysis of molecular dynamics data showed free binding energy-71.7004 +/− 7.98, −56.81+/− 7.54 kcal/mol, respectively. The computational study identified several ligands that may act as potential inhibitors of SARS-CoV-2 Mpro. The top-ranked molecules SN00293542, and SN00382835 occupied the active site of the target, the main protease like that of the co-crystal ligand. These molecules may emerge as a promising ligands against SARS-CoV-2 and thus needs further detailed investigations. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Pharmacy en_US
dc.subject COVID-19 en_US
dc.subject Main protease en_US
dc.subject Pharmacophore en_US
dc.subject Virtual screening en_US
dc.subject Molecular docking en_US
dc.subject Molecular dynamics en_US
dc.title Pharmacophore based virtual screening, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective SARS-CoV-2 inhibitor from natural product databases en_US
dc.type Article en_US


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