Open AccessIn-Silico Modeling of Potential Molecules to target Diabetes Type-2
Author(s) -
Bharat Kwatra,
Aravind Ravi,
Isabella Suzanne Koshy,
Sakshi Sharma,
Siddhant Dhingra
Publication year - 2022
Publication title -
international journal of medical and biomedical studies
Language(s) - English
Resource type - Journals
eISSN - 2589-8698
pISSN - 2589-868X
DOI - 10.32553/ijmbs.v6i4.2509
Subject(s) - virtual screening , in silico , battle , docking (animal) , type 2 diabetes , curcumin , protein data bank (rcsb pdb) , pharmacology , medicine , drug , computational biology , type 2 diabetes mellitus , drug discovery , diabetes mellitus , bioinformatics , chemistry , stereochemistry , biology , biochemistry , archaeology , history , nursing , endocrinology , gene
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.