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

Minggui Yuan, Minxian Luo, Yao Song, Qiu Xu, Xiaofeng Wang, Yi Cao, Xianzhang Bu, Yanliang Ren, Xiaopeng Hu

Index: Bioorg. Med. Chem. 19 , 1189-96, (2011)

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Abstract

Several recent developments suggest that the human glyoxalase I (GLO I) is a potential target for anti-tumor drug development. In present study, a series of curcumin derivatives with high inhibitory activity against human GLO I were discovered. Inhibition constant (K(i)) values of compounds 8, 9, 10, 11 and 13 to GLO I are 4.600μM, 2.600μM, 3.200μM, 3.600μM and 3.600μM, respectively. To elucidate the structural features of potent inhibitors, docking-based three-dimensional structure-activity relationship (3D-QSAR) analyses were performed. Satisfactory agreement between experiment and theory suggests that comparative molecular similarity index analysis (CoMSIA) modeling exhibit much better correlation and predictive power. The cross-validated q(2) value is 0.638 while no-validation r(2) value is 0.930. Integrated with docking-based 3D-QSAR CoMSIA modeling, molecular surface property (electrostatic and steric) 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.Copyright © 2010 Elsevier Ltd. All rights reserved.