Computational Design of Potent Inhibitors for SARS-CoV-2’s Main Protease

25 June 2020, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

In silico drug design can play a vital role in identifying promising drug candidates against COVID-19. Herein, we focused on the main protease of SARS-CoV-2 that plays crucial biological functions in the virus. We performed a ligand-based virtual screening followed by a docking screening for testing approved drugs and bioactive compounds listed in the DrugBank and ChEMBL databases. The top 8 docking results were advanced to all-atom MD simulations to study the relative stability of the protein-ligand interactions.Our results suggest several promising approved and bioactive inhibitors of SARS-CoV-2 Mpro.

Keywords

Molecular Docking Approaches
Molecular Dynamics Simulation Study
virtual screening
SARS-COV-2 Mpro

Supplementary materials

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