Nikolic Katarina, Agababa Danica
Institute of Pharmaceutical Chemistry and Drug Analysis, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade, Serbia.
J Mol Graph Model. 2009 Apr;27(7):777-83. doi: 10.1016/j.jmgm.2008.11.007. Epub 2008 Nov 27.
Quantitative structure-activity relationships (QSAR) study has been performed for two sets of the antitumor drugs against human breast cancer MCF-7 cell lines, alpha-tocopherol and cholesterol derivatives. Constitutional, geometrical, physico-chemical and electronic descriptors (using the density functional theory, B3LYP/6-31G (d,p) basis set) were computed and analyzed. The most relevant of these descriptors were grouped and multiple linear regressions have been carried out. Optimal QSAR models with three and four variables, R(2)>0.95 and cross-validation parameter q(pre)(2)>0.88, were selected. Based on the QSAR study, novel vitamin-E derivatives (compounds D-1 and D-2) were designed and their antiproliferative activities were evaluated using the proposed regression models. Calculated antiproliferative activities of the designed compounds, IC(50) (D-1): 3.09 microM and IC(50) (D-2): 3.54 microM, were significantly stronger than anticancer effect of the other analyzed compounds IC(50): 4-1461 microM.
针对两组抗人乳腺癌MCF - 7细胞系的抗肿瘤药物(α - 生育酚和胆固醇衍生物)开展了定量构效关系(QSAR)研究。计算并分析了结构、几何、物理化学和电子描述符(使用密度泛函理论,B3LYP/6 - 31G(d,p)基组)。将这些最相关的描述符进行分组并进行多元线性回归。选择了具有三个和四个变量、R(2)>0.95且交叉验证参数q(pre)(2)>0.88的最优QSAR模型。基于QSAR研究,设计了新型维生素E衍生物(化合物D - 1和D - 2),并使用所提出的回归模型评估了它们的抗增殖活性。设计化合物的计算抗增殖活性,IC(50)(D - 1):3.09 microM和IC(50)(D - 2):3.54 microM,明显强于其他分析化合物的抗癌效果IC(50):4 - 1461 microM。