Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, P.O. Box-17020, Jadavpur University, Kolkata 700032, India.
Comput Biol Med. 2013 Oct;43(10):1545-55. doi: 10.1016/j.compbiomed.2013.07.034. Epub 2013 Aug 14.
Cholesteryl ester transfer protein (CETP) converts high density lipoprotein cholesterol to low density lipoproteins. It is a promising target for treatment of coronary heart disease. Two dimensional quantitative structure activity relationship (2D-QSAR), hologram QSAR (HQSAR) studies and comparative molecular field analysis (CoMFA) as well as comparative molecular similarity analysis (CoMSIA) were performed on 104 CETP inhibitors. The statistical qualities of generated models were justified by internal and external validation, i.e., q(2) and R(2)pred respectively. The best 2D-QSAR model was obtained with q(2) and R(2)pred values of 0.794 and 0.796 respectively. The 2D-QSAR study suggests that unsaturation, branching and van der Waals volumes may play important roles. The HQSAR model showed q(2) and R(2)pred values of 0.628 and 0.550 respectively. Similarly, CoMFA model showed q(2) and R(2)pred values of 0.707 and 0.755 respectively whereas CoMSIA model was obtained with q(2) and R(2)pred values of 0.696 and 0.703 respectively. CoMFA and CoMSIA studies indicate that steric factors are important at substituted phenoxy and tetrafluoroethoxy groups whereas electropositive factors play important role at difluoromethyl group. The results of 3D-QSAR studies validate those of 2D-QSAR and HQSAR studies as well as the earlier observed SAR data. Current work may help to develop better CETP inhibitors.
胆固醇酯转移蛋白(CETP)将高密度脂蛋白胆固醇转化为低密度脂蛋白。它是治疗冠心病的有希望的靶点。对 104 种 CETP 抑制剂进行了二维定量构效关系(2D-QSAR)、全息定量构效关系(HQSAR)研究和比较分子场分析(CoMFA)以及比较分子相似性分析(CoMSIA)。通过内部和外部验证,即 q(2)和 R(2)pred,分别证明了生成模型的统计质量。最好的 2D-QSAR 模型具有 q(2)和 R(2)pred 值分别为 0.794 和 0.796。2D-QSAR 研究表明,不饱和、支化和范德华体积可能起重要作用。HQSAR 模型显示 q(2)和 R(2)pred 值分别为 0.628 和 0.550。同样,CoMFA 模型显示 q(2)和 R(2)pred 值分别为 0.707 和 0.755,而 CoMSIA 模型的 q(2)和 R(2)pred 值分别为 0.696 和 0.703。CoMFA 和 CoMSIA 研究表明,立体因素在取代的苯氧基和四氟乙氧基基团中很重要,而正电性因素在二氟甲基基团中起重要作用。3D-QSAR 研究的结果验证了 2D-QSAR 和 HQSAR 研究以及早期观察到的 SAR 数据的结果。目前的工作可能有助于开发更好的 CETP 抑制剂。