In silico Study to Identification of Potential SARS-CoV-2 Main Protease Inhibitors: Virtual Drug Screening and Molecular Docking with AutoDock Vina and Molegro Virtual Docker

Coronavirus disease 2019 (COVID-19) has emerged in Wuhan, China, and because of fast transmission, it has led to its extensive prevalence in almost all countries, which has made it a global crisis. Drug repurposing is considered a fast way to discover new applications of the current drugs. This study aims to recognize a possible small molecule as a primary protease inhibitor versus the main protease protein of SARS-CoV-2 by computational programs. Virtual screening procedures like using Molegro Virtual Docker, AutoDock Tool, and AutoDock Vina, were done for more than 1600 FDA-approved medicines downloaded from the ZINC database, were employed to characterize new implied molecule inhibitors for the recently published crystal structure of the main protease protein of SARS-CoV-2. Virtual screening results indicated, many drugs including ARBs, cephalosporins, some kinase inhibitors, HMG CoA reductase, and leukotriene receptor antagonist, may inhibit the main protease of SARS-COV-2. Velpatasvir, Molnupiravir, and Ivermectin were selected by virtual screening methods for further studies to find an efficient ligand for the treatment of COVID-19. Due to some other beneficial features, including anti-infectious, anti-inflammatory properties, and ADME profile, they could be a promising drug nominee for repurposing to the treatment of COVID-19. Velpatasvir was selected by some virtual screening methods for further studies to find a suitable ligand for the treatment of COVID-19. Furthermore, more studies need to approve this data and finally clinical trial needs to be done to examine the efficacy of Velpatasvir for the treatment of covid-19 as an anti-viral agent.