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

被引:34
|
作者
Yuan, Minggui [1 ]
Luo, Minxian [1 ]
Song, Yao [2 ]
Xu, Qiu [1 ]
Wang, Xiaofeng [2 ]
Cao, Yi [2 ]
Bu, Xianzhang [1 ]
Ren, Yanliang [2 ]
Hu, Xiaopeng [1 ]
机构
[1] Sun Yat Sen Univ, Sch Pharmaceut Sci, Guangzhou 510006, Guangdong, Peoples R China
[2] Cent China Normal Univ, Key Lab Pesticide & Chem Biol CCNU, Minist Educ, Coll Chem, Wuhan 430079, Peoples R China
基金
高等学校博士学科点专项科研基金;
关键词
Glyoxalase I; Curcumin derivatives; 3D-QSAR; Molecular docking; Molecular dynamic simulations; BINDING; COMFA; CANCER; FLAVONOIDS; PROTEINS; TARGETS; COMSIA; ENZYME;
D O I
10.1016/j.bmc.2010.12.039
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Several recent developments suggest that the human glyoxalase I (GLO I) is a potential target for antitumor drug development. In present study, a series of curcumin derivatives with high inhibitory activity against human GLO I were discovered. Inhibition constant (KO values of compounds 8, 9, 10, 11 and 13 to GLO I are 4.600 mu M, 2.600 mu M, 3.200 mu M, 3.600 mu M and 3.600 mu M, 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. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1189 / 1196
页数:8
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