摘要:QSAR法是研究化合物定量构效-活性关系的一种重要的研究方法。本文采用密度泛函理论方法进行量子化学计算,在Gaussian03程序中B3LYP/6-311G*的水平下,计算Combretastain A-4类似物的量子化学参数。同时运用ChemBio3D计算Combretastain A-4类似物的理化参数。应用SPSS11.5统计程序,采用Stepwise法和Enter法来进入参数,建立计算所得量子化学参数和理化参数与Combretastain A-4类似物之间的最佳相关方程(QSAR方程),以此来对模型的有效性和拟合优度以及对模型的预测力进行检验。通过新采集一定数量的样本对所建立的QSAR模型的预测能力进行验证,其中最低分子空轨道能ELUMO^2、脂水分配系数ClogP和分子能量HF这三个因素对聚合抑制作用的影响是最大的。研究结果表明所建立的QSAR方程是显著有效的,可以用来预测Combretastain A-4类似物的抑制聚合作用具有一定的可行性。22314
关键词:Combretastain A-4类似物;量子化参数;密度泛函理论;定量构效关系;微管蛋白聚合抑制作用
2D-QSAR for Tubulin Polymerization Inhibition of Combretastain A-4 Analogue
Abstract: QSAR is an important research method which is the study of compounds’ Quantitative Structure-Activity Relationship. Based on Density Functional Theory (DFT) method, quantum-chemical parameters of aromatic components in combretastain A-4 analogues were calculated at the level of B3LYP/6-311G* by Gaussian03. While using of ChemBio3D to calculate the physicochemical parameters of aromatic components in Pomelo peel oil. Using SPSS 11.5 program, with the Stepwise and Enter entering parameters mode, the QSAR equation between the calculated quantum chemistry structural parameters and the physic-chemical parameters and combretastain A-4 analogues have been established based on regression analysis (Multivariate Linear Regression). Through checking the accuracy of the model with the newly selected data to verify if the final QSAR model is acceptable, in which ELUMO^2, ClogP and HF are the most important factors on the tubulin polymerization inhibition. The result shows that the QSAR model can predict the tubulin polymerization inhibition of combretastain A-4 analogues effectively.
Key Words: Combretastain A-4 analogue;Quantum-chemical parameter;DFT;QSAR;Tubulin Polymerization Inhibition