Identification of potential drug-target interaction for approved drugs serves as the basis of repurposing drugs. Studies have shown polypharmacology as common phenomenon. In-silico approaches help in screening large compound libraries at once which could take years in a laboratory. We screened a library of 1050 FDA-approved drugs against spike glycoprotein of SARS-CoV2 in-silico. Anti-cancer drugs have shown good binding affinity which is much better than hydroxychloroquine and arbidol. We have also introduced a hypothesis named “Bump” hypothesis which and be developed further in field of computational biology.
InstitutionGovernment Medical College and Hospital, Jalgaon
ORCID For Submitting Author0000-0003-1483-1449
Declaration of Conflict of InterestNone
Version NotesKindly send all corresponding to:
Dr. Shubhangi Dange
Department of Microbiology, Government Medical College and Hospital Jalgaon