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2,4-噻唑烷二酮类醛糖还原酶抑制剂的三维定量结构-活性关系及分子对接研究

3D-QSAR Studies of 2,4-Thiazolidinediones as Aldose Reductase Inhibitors Using Co MFA,Co MSIA and Molecular Docking

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【作者】 常美佳罗盛杨旭曙张一鸣孙成王连生

【Author】 Chang Meijia;Luo Sheng;Yang Xushu;Zhang Yiming;Sun Cheng;Wang Liansheng;School of Pharmacy,Nanjing Medical University;School of Basic Medical Sciences,Nanjing Medical University;State Key Laboratory of Pollution Control and Resources Reuse,School of Environment,Nanjing University;

【机构】 南京医科大学药学院南京医科大学基础医学院南京大学环境学院

【摘要】 醛糖还原酶抑制剂通过抑制多元醇通路中醛糖的还原而有希望成为治疗慢性糖尿病的新药,这促进了新型醛糖还原酶(ALR2)抑制剂的研制.本文采用两种3D-QSAR方法,即比较分子力场分析(Co MFA)和比较相似性指数分析(Co MSIA)方法,研究2,4-噻唑烷二酮类醛糖还原酶抑制剂结构与活性之间的关系.采用原子契合(相同骨架结构)、场契合和基于分子对接3种分子叠合方式构建Co MFA和Co MSIA模型.基于原子契合方式构建的模型为最佳预测模型(Co MFA r2=0.922,q2LOO=0.707;Co MSIA r2=0.917,q2LOO=0.762).此模型进一步通过12个化合物组成的样本外测试集进行验证,结果由Co MFA和Co MSIA模型得到的测试集外部验证系数(r2pred)分别为0.824和0.883.Co MFA和Co MSIA的力场系数等高图的分析结果与分子对接的结果一致.Co MFA和Co MSIA方法结合分子对接研究有助于揭示抑制剂与醛糖还原酶之间的相互作用以及影响醛糖还原酶抑制剂活性的化合物的结构特征,这些为新型醛糖还原酶抑制剂的理性设计提供了有益的信息.

【Abstract】 Aldose reductase(ALR2) inhibitors are promising agents for chronic diabetic complication therapy by preventing the reduction of glucose in the polyol pathway,which promotes to develop novel ALR2 inhibitors. Two kinds of techniques,comparative molecular field analysis(Co MFA) and comparative molecular similarity indices analysis(Co MSIA),were employed for studying a series of 5-arylidene-2,4-thiazolidinediones as aldose reductase inhibitors.With the strategies of common substructure-based alignment and field-fit alignment,the lowest energy conformations were used to develop the ligand-based models of three-dimensional quantitative structure-activity relationship(3D-QSAR). The bioactive conformation obtained by docking all 5-arylidene-2,4-thiazolidinediones derivatives into the active site of aldose reductase(PBD ID:1ah3) was applied for the development of receptor-based model. Statistically significant model of ligand-based 3D-QSAR from the common substructure-based alignment exhibited the best predictive power(Co MFA r2=0.922,q2=0.707;Co MSIA r2=0.917,q2=0.762). The model was further confirmed by analyzing 12 sets of compounds with diverse structure. The results showed high predictive r2 values of 0.824 for Co MFA and 0.883 for Co MSIA respectively. The molecular docking analysis revealed that both Co MFA and Co MSIA contour maps for steric,electrostatic,hydrophobic,and hydrogen-bonding interactions matched well. The combination of Co MFA and Co MSIA with molecular docking is helpful to understand the interaction and the structure-activity relationship between ALR2 and its inhibitor. The present results provide a valuable guidance for rationally designing ARL2 inhibitors.

【基金】 国家自然科学基金面上项目(21277074);国家自然科学基金青年科学基金项目(81302458);江苏省高校自然科学基金项目(11KJB180006);南京医科大学自然科学基金重点项目(09NJMUZ16)
  • 【文献出处】 南京师大学报(自然科学版) ,Journal of Nanjing Normal University(Natural Science Edition) , 编辑部邮箱 ,2015年03期
  • 【分类号】TQ460.1
  • 【被引频次】5
  • 【下载频次】186
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