Li_2025_J.Comput.Aided.Mol.Des_39_100

Reference

Title : Bioactive constituents isolated from the leaves of Phyllostachys Bambusoides with potent soluble epoxide hydrolase inhibitory activity: enzyme kinetics, molecular docking, and molecular dynamics simulations - Li_2025_J.Comput.Aided.Mol.Des_39_100
Author(s) : Li HX , Phong NV , Lim SD , Kim YH , Li W , Yang SY
Ref : J Comput Aided Mol Des , 39 :100 , 2025
Abstract :

Traditional usage and in vitro studies have previously proven the effects of soluble epoxide hydrolase (sEH) inhibitors isolated from Phyllostachys bambusoides. A phytochemical investigation of Phyllostachys bambusoides led to the isolation of six known compounds: one phenolic amide moschamine (1), three flavonoids, including tricin (2), salcolin A (3), and luteolin 6-C-alpha-L-arabinopyranoside (4), as well as two neolignans (5-6). The structures of these compounds were determined spectroscopically; their nuclear magnetic resonance spectra were compared to reported spectra. The sEH inhibitory activity of all isolated compounds was examined. Compounds 14 exhibited strong sEH inhibitory activity with IC(50) values of 30.6, 57.5, 16.8, and 11.7 microM, respectively. Kinetic analyses of most potent compounds, 3 and 4, revealed that they were non-competitive inhibitors of sEH. The resulting molecular docking and molecular dynamics simulations have increased our understanding of the dynamic behavior of receptor-ligand binding between these compounds. Our findings suggest that flavonolignan and flavone derivatives from P. bambusoides leaves show promise as potential natural sEH inhibitors.

PubMedSearch : Li_2025_J.Comput.Aided.Mol.Des_39_100
PubMedID: 41136865

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Citations formats

Li HX, Phong NV, Lim SD, Kim YH, Li W, Yang SY (2025)
Bioactive constituents isolated from the leaves of Phyllostachys Bambusoides with potent soluble epoxide hydrolase inhibitory activity: enzyme kinetics, molecular docking, and molecular dynamics simulations
J Comput Aided Mol Des 39 :100

Li HX, Phong NV, Lim SD, Kim YH, Li W, Yang SY (2025)
J Comput Aided Mol Des 39 :100