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September 10, 2026Technology and Health Care

Computational identification of isoflavonoids as novel PPAR-γ agonists for the treatment of type 2 diabetes mellitus

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Authors

AAAbdulkadir AbduHBHossamaldeen BakreysEAEman Mohamed Abdulkareem

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Overview

In silico study identifies plant isoflavonoids as potent PPAR-γ agonists, suggesting safer natural therapeutic candidates for type 2 diabetes mellitus.

Key Points

  • Identify novel, safer natural PPAR-γ agonists among dietary isoflavonoids to avoid the adverse side effects associated with conventional thiazolidinediones.
  • Screened 19 FooDB isoflavonoids against PPAR-γ (PDB: 3DZY) using Glide SP docking and structural interaction fingerprint (SIFt) validation.
  • Characterized electronic properties using density functional theory (DFT) and predicted pharmacokinetic and bioactivity parameters through ADMET and PASS profiling.
  • Assessed dynamic complex stability and binding free energy using 100-ns molecular dynamics (MD) simulations and MM-GBSA calculations.
  • Genistin and daidzin were identified as primary lead compounds, with docking scores of −10.837 kcal/mol and −10.125 kcal/mol, respectively.
  • Genistin exhibited high electronic stability with a HOMO-LUMO gap of 7.80 eV and favorable drug-likeness with 58% predicted human intestinal absorption.
  • Molecular dynamics confirmed a stable PPAR-γ complex with genistin, maintaining persistent hydrogen bonds with HIS435 (91%) and LEU325 (94%) alongside an MM-GBSA binding free energy of −60 kcal/mol.

Cite This Study

Abdu et al. (2026) studied this question.

synapsesocial.com/papers/6aa27a9f58559d80afc735f0https://doi.org/10.1177/09287329261481865
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