Computational investigation of phytochemicals from Abrus precatorius seeds as modulators of peroxisome proliferator-activated receptor gamma (PPARγ)
Abstract
Type 2 diabetes mellitus remains global health challenge with involvement of both insulin resistance and dysfunctional insulin secretion from the pancreatic β-cell. Currently, peroxisome proliferator-activated receptor gamma (PPARγ) has been established to play a significant role in glucose homeostasis and insulin sensitization contributing to the pathogenesis of type 2 diabetes mellitus. Hence, this study used in-silico analysis to predict PPARγ antagonists from the natural compounds. ADMET screening, structure-based virtual screening and MM/GBSA calculations of phytochemicals from HPLC analysis of A. precatorius seeds were performed against PPARγ using Maestro Schrodinger suite, followed by the MD simulation of top hit compounds and reference ligand using GROMACS. The quantum chemical calculations of the compounds were performed using Spartan 14 computational chemistry software. The five compounds showed varying degree of binding affinity against PPARγ, the post-docking analysis confirmed strong interaction against the amino acid residues of the binding site of the target. Chlorogenic acid showed the highest docking score (-10.719 kcal/mol) among the compounds comparable to the reference ligand (acarbose = -10.634 kcal/mol). Additionally, MM/GBSA binding free energy (ΔGbind) calculations support the modulatory potential for the docked compounds, which exclusively revealed the highest binding energy for the compounds than the reference ligand (acarbose). The MD simulations…
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