@article{S._SMITH A._S._D._V._2021, title={COMPUTATIONAL MOLECULAR MODELLING OF 2-AMINOBENZIMIDAZOLE DERIVATIVES: STRONG SUCCESSOR OF HYPOGLYCAEMIC AGENT}, volume={13}, url={https://journals.innovareacademics.in/index.php/ijpps/article/view/41877}, DOI={10.22159/ijpps.2021v13i9.41877}, abstractNote={<p><strong>Objective: </strong>The present study was aimed to design different analogues of 2-aminobenzimidazole and find the binding ability by <em>Insilico</em> method.</p> <p><strong>Methods: </strong>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.</p> <p><strong>Results: </strong>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.</p> <p><strong>Conclusion: </strong>These results pointed that the designed proposed derivatives promising hypoglycaemic activity. </p>}, number={9}, journal={International Journal of Pharmacy and Pharmaceutical Sciences}, author={S., SREEJA and SMITH A., ANTON and S., MADAN and D., SUNILKUMAR and V., VANI}, year={2021}, month={Sep.}, pages={16–21} }