Research Journal of Pharmacy and Technology
SCOPUS
  • Year: 2025
  • Volume: 18
  • Issue: 9

Exploring the Binding Affinities of 2-Methyl-N-(1,3-Dioxoisoindolin-2-yl) Benzamide Derivatives as Potent DPP-4 Inhibitors”

  • Author:
  • Parul Singh1,*, Nidhi Srivastava2, Akash Ved3
  • Total Page Count: 7
  • Published Online: Dec 19, 2025
  • Page Number: 4389 to 4395

1PSIT- Pranveer Singh Institute of Technology, (Pharmacy), Kanpur - 209305, Uttar Pradesh, India

2School of Pharmaceutical Sciences, Maharishi University of Information Technology, Lucknow, Uttar Pradesh, India

3Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India

*Corresponding Author E-mail: parul9161@gmail.com

Online published on 19 December, 2025.

Abstract

Diabetes mellitus, particularly type 2 diabetes, remains a critical global health challenge necessitating novel therapeutic approaches. Dipeptidyl peptidase-4 (DPP-4) inhibitors have emerged as promising agents in diabetes management by enhancing glucose regulation through incretin hormone stabilization. This study investigates the molecular docking interactions between DPP-4 (PDB ID: 2OQV) and a series of 2-methyl-N-(1,3-dioxoisoindolin-2-yl) benzamide derivatives. Our docking simulations revealed significant binding affinities, with docking scores ranging from -8.0 to -9.0 and the docking score of the Co-crystallize ligand is -10.1. Compound P-2 exhibited the highest affinity with a docking score of -9.0, demonstrating multiple stable interactions with key residues such as Tyr662. Comparative analysis highlighted the robust binding profiles of compounds P-1, P-3, and P-4, underscoring their potential as effective DPP-4 inhibitors. These findings provide a foundation for further in vitro and in vivo studies to validate and optimize these compounds, advancing the development of next-generation antidiabetic agents.

Keywords

DPP-4 Inhibitors, Molecular Docking, Type 2 Diabetes, 2-Methyl-N-(1,3-Dioxoisoindolin-2-Yl) Benzamide, Glucose Regulation, Drug Design, Computational Analysis, Binding Affinity