Computational studies by molecular docking of some antiviral drugs with COVID-19 receptors are an approach to medication for COVID-19

Abstract

Abstract The COVID-19 outbreak is a matter of concern worldwide due to unavailability of promising treatment comprising medication or vaccination till date. The discovery of antiviral drug is of immense importance in the existing spread of novel coronavirus. The goal of the present study was to evolve an opposite antiviral drug against the novel COVID-19 virus. A directly succeeding perspective would be to use the prevailing influential drugs from several antimicrobial and chemotherapeutic agents. The encouraging approach is to identify promising drug molecules and compounds through virtual screening via molecular docking of FDA-approved drugs and some previously synthesized pyridone and coumarin derivatives for probable therapeutic outcome. In this conceptual milieu, an effort has been made to propose a computational in silico relationship among FDA-approved drugs and coronavirus-associated receptors and proteins. The study results were evaluated on the basis of a dock score by using molecular operating environment. Out of 15 compounds screened, the compounds with the best docking scores toward their targets was 3d. Therefore, compound 3d deserves further investigations and clinical trials as a possible therapeutic inhibitor of the COVID-19 caused by the novel SARS-CoV-2.