School of Pharmaceutical Science, Sun Yat-sen University, Guangzhou 510006, China.
Bioorg Med Chem. 2011 Feb 1;19(3):1189-96. doi: 10.1016/j.bmc.2010.12.039. Epub 2010 Dec 22.
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.
一些最近的发展表明,人类乙醛酸酶 I(GLO I)是抗肿瘤药物开发的潜在目标。在本研究中,发现了一系列对人 GLO I 具有高抑制活性的姜黄素衍生物。化合物 8、9、10、11 和 13 对 GLO I 的抑制常数(K(i))值分别为 4.600μM、2.600μM、3.200μM、3.600μM 和 3.600μM。为了阐明强效抑制剂的结构特征,进行了基于对接的三维结构-活性关系(3D-QSAR)分析。实验与理论之间的令人满意的一致性表明,比较分子相似性指数分析(CoMSIA)模型具有更好的相关性和预测能力。交叉验证的 q(2)值为 0.638,而无验证的 r(2)值为 0.930。与基于对接的 3D-QSAR CoMSIA 建模、分子表面性质(静电和立体)映射和分子动力学模拟相结合,建立了一套用于合理设计更有效的 GLO I 抑制剂的受体-配体结合模型和生物亲和力预测模型。