In-Silico Modeling of Potential Molecules to target Diabetes Type-2

Abstract

By and by, the world is in a battle with Diabetes and its variants with no prompt medicines accessible. The scourge brought about by the disease is expanding step by step. A ton of researchers are continuing for the potential medication up-and-comer that could help the medical care framework in this battle. We present a docking?based screening using a quantum mechanical scoring of a library built from approved drugs and compounds that Curcumin, Delphinidin, Cyanidin-3,5-diglucoside, Diterpenoid Lactones, Glycosides, Alkaloids, with Proteins with PDB id’s 3K35 and 3A5J could display antiviral activity against Diabetes types-2. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the disease. We hope that these findings may contribute to the rational drug design against Diabetes type-2.