Molecular Docking Study of drug molecules from Drug Bank database against COVID-19 Mpro protein
Aims: SARS-CoV-2 which is NovelCoronavirushas been disseminated all over the world and causing Coronavirus disease (COVID-19) resulting in many deaths as well as economic loss in several countries.This virus is showinga considerable amount of high morbidity and mortality.Currently, no drugs are available againstSARS-CoV-2. Therefore,for the treatment of disease, researchers are looking fornew drugs that can treat the disease and prevent it to be spread.In this regard,drug repurposingmay help scientists for treating and preventing infections associated with SARS-CoV-2. Drug repurposingis a strategy that can identify new targets for existing drugs that are already approved for the treatment of a disease.Main methods: In this study, we present a virtual screening procedure employing deep lerning regression method in 9101 drugs from Drug bank database against the target Main protease (Mpro) for the treatment of COVID-19. 500 screened compounds were subjected to docking.Key findings: Among those 500 drugs, 10 best drugs were selected, which had better binding energy as compared to the reference molecule. Based on the Binding energy score, we can suggest that the identified drug may be considered for therapeutic development against the virus.Significance: Drug repurposing has many advantages as it could shorten the time and reduce the cost of new drug discovery. This research will help to get new drugs against COVID-19 and help humans against this pandemic disease. Keyword- Drug Repurposing, Deep learning, Molecular Docking, COVID-19, Drug bank database, MPro