Open AccessCOMPUTATIONAL MOLECULAR MODELLING OF 2-AMINOBENZIMIDAZOLE DERIVATIVES: STRONG SUCCESSOR OF HYPOGLYCAEMIC AGENT
Author(s) -
S. Sreeja,
A. Anton Smith,
Shivank Madan,
D Sunilkumar,
Veenam Bhavya Naga Vani
Publication year - 2021
Publication title -
international journal of pharmacy and pharmaceutical sciences/international journal of pharmacy and pharmaceutical sciences
Language(s) - English
Resource type - Journals
eISSN - 2656-0097
pISSN - 0975-1491
DOI - 10.22159/ijpps.2021v13i9.41877
Subject(s) - chemistry , receptor , combinatorial chemistry , stereochemistry , molecular model , biochemistry
Objective: The present study was aimed to design different analogues of 2-aminobenzimidazole and find the binding ability by Insilico method.Methods: Various soft wares like Chemsketch, Molinspiration, PASS, and Discovery studio were used to design the proposed derivatives. Evaluation of binding activity against different receptors was detected and checked their physicochemical properties for binding.Results: In this study, we designed different analogs of 2-aminobenzimidazole into a ligand having a binding affinity with alpha-glucosidase, Dipeptidyl–peptidase 4(DPP4), Peroximase proliferator-activated receptor gamma (PPARγ), and Insulin-like growth factor 1(IGF-1) receptor. The designed ten derivatives showed a significant binding capacity to the concerned receptors.Conclusion: These results pointed that the designed proposed derivatives promising hypoglycaemic activity.