Ligand-based design of potent Dipeptidyl Peptidase-IV (DPP-IV) inhibitors in heterocyclic compounds using QSAR, molecular docking, dynamic simulations, ADMET, and pharmacological profiling for anti-diabetic potential

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Authors: Friday Benedict, Adamu Uzairu, Sani Uba, Renato Araújo da Costa, Muhammed Tukur Ibrahim, Abdullahi Bello Umar, Gideon Adamu Shallangwa, Zakari Ya’u Ibrahim
Cited by: 0
References: 37

Abstract

Type 2 Diabetes Mellitus (T2DM) is characterized by high glucose levels in the blood and impaired insulin function, often leading to complications like visual impairment, amputation, and nephropathy. It is a global health challenge and is projected to become the seventh leading cause of mortality. This research aimed to design effective and safer Dipeptidyl Peptidase-IV (DPP-IV) inhibitors as potential T2DM treatments. Five QSAR models were developed; Model 3 demonstrated high performance, with R² = 0.9904, Q²cv = 0.9836, and R²pred = 0.8989. Based on this model, the newly designed compounds, yielding pIC50 values ranging from 8.10 to 8.27, are more effective than the template (pIC50 = 8.0) and the reference drug Sitagliptin (pIC50 = 7.88). Docking studies revealed better binding affinities for the newly designed compounds. The ADMET predictions suggest that the compounds exhibit favourable pharmacokinetics and low risk of toxicity profiles. Using Material Studio v8.0, a Quantitative structure-activity relationship (QSAR) model was constructed and validated through both internal and external assessment procedures. Virtual screening identified a template compound that underwent structural modifications to enhance efficacy. Molecular docking studies using Protein Data Bank data (PDB ID: 3c59) pinpointed active site residues, and a molecular dynamics simulation study using the Software Amber24 was performed at 500 ns. The data showed that the compound DPI7 was thermodynamically stable and effectively bound to the target protein in its active binding pockets without much movement. The pharmacological characteristics of the compounds were evaluated using ADMETlab, SwissADME, and pKCSM. The findings suggest the designed DPP-IV inhibitors are potential candidates for T2DM treatment, giving better results and safety compared to the template and reference drug (Sitagliptin) used in this study.

Fields of Study & Subjects

Computational Drug Discovery Methods Natural Antidiabetic Agents Studies Diabetes Treatment and Management

Publication details

Journal / source
In Silico Research in Biomedicine
Volume
2
Pages
100184–100184
Publication date
1 January 2026
Language
EN