scispace - formally typeset
X

Xiaopeng Hu

Researcher at Sun Yat-sen University

Publications -  20
Citations -  464

Xiaopeng Hu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Aldose reductase & Reductase. The author has an hindex of 13, co-authored 20 publications receiving 386 citations.

Papers
More filters
Journal ArticleDOI

Inhibitor selectivity between aldo-keto reductase superfamily members AKR1B10 and AKR1B1: role of Trp112 (Trp111).

TL;DR: Crystal structures reported here reveal a surprising Trp112 native conformation stabilized by a specific Gln114‐centered hydrogen bond network in the AKR1B10 holoenzyme, and suggest that AKR 1B1 inhibitors could retain their binding affinities toward AKR2B10 by inducing Trp 112 flip to result in an “AKR1 B1‐like” active site in AKR3B10.
Journal ArticleDOI

Moracin M from Morus alba L. is a natural phosphodiesterase-4 inhibitor.

TL;DR: Moracin M extracted from Chinese herbal drug 'Sang-Bai-Pi' was studied for the inhibitory affinity towards PDE4 and comparative kinetics analysis of its analog moracin C was carried out to qualitatively validate their inhibitory potency.
Journal ArticleDOI

Binding of curcumin with glyoxalase I: Molecular docking, molecular dynamics simulations, and kinetics analysis.

TL;DR: Molecular docking and molecular dynamics simulations were performed and revealed that bisdemethoxycurcumin binds to GLOI in a similar manner as curcumin and exhibits a slightly less negative predicted binding free energy, which can provide an insight into the development of novel and more effectiveGLOI inhibitors.
Journal ArticleDOI

Structural and biochemical characterization of fructose-1,6/sedoheptulose-1,7-bisphosphatase from the cyanobacterium Synechocystis strain 6803.

TL;DR: The crystal structure of cy–FBP/SBPase in complex with AMP and fructose‐1,6–bisphosphate (FBP) is described and insight is provided into the evolution of this enzyme family, and may help in the design of inhibitors aimed at preventing toxic cyanobacterial blooms.
Journal ArticleDOI

Identification of curcumin derivatives as human glyoxalase I inhibitors: A combination of biological evaluation, molecular docking, 3D-QSAR and molecular dynamics simulation studies.

TL;DR: Integrated with docking-based 3D-QSAR CoMSIA modeling, molecular surface property mapping and molecular dynamics simulation, a set of receptor-ligand binding models and bio-affinity predictive models for rational design of more potent inhibitors of GLO I are established.