Srivani P, Sastry G Narahari
Molecular Modeling Group, Organic Chemical Sciences, Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500007, India.
J Mol Graph Model. 2009 Feb;27(6):676-88. doi: 10.1016/j.jmgm.2008.10.010. Epub 2008 Dec 6.
Choline kinase (ChoK) is reported to involve in cell signaling pathways and cell growth by regulating the intermediate, phosphocholine (PCho), which is the first step to biosynthesis a membrane phospholipid, phosphatidylcholine. The PCho levels are overexpressed due to elevated activation of the protein under carcinogenesis conditions. ChoK has thus evolved as a novel target for various cancers and a range of compounds has been reported in this course as potent ChoK inhibitors. However, not much information is known about the binding site of the inhibitors. Therefore, we ventured to unravel the possible binding site of 39 bis-quinolinium inhibitors from which the structural requirement for better protein-ligand complex was delved. Molecular docking and 3D-QSAR studies namely comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on the series. The knowledge of the active site was obtained from the site id search and molcad surface calculations of Sybyl, which was further considered for docking studies. In 3D-QSAR, the best predictions were obtained from the model where 29 compounds were considered in the training set and remaining 10 in the test set. The best CoMFA statistics were obtained with r(2) of 0.99 and q(2) of 0.81 while, CoMSIA was resulted with r(2) of 0.98 and q(2) of 0.77. A comparative analysis was done with the resulted 3D-QSAR maps and the docked poses by overlaying the maps on the active site residues. Since, there is no reported ligand co-crystallized structure of ChoK the present study provides valuable clues on the binding conformation of the ligand and its interactions with the active site.
据报道,胆碱激酶(ChoK)通过调节中间体磷酸胆碱(PCho)参与细胞信号通路和细胞生长,PCho是生物合成膜磷脂磷脂酰胆碱的第一步。在致癌条件下,由于该蛋白的激活增强,PCho水平会过度表达。因此,ChoK已成为各种癌症的新靶点,在此过程中已有一系列化合物被报道为有效的ChoK抑制剂。然而,关于这些抑制剂的结合位点所知甚少。因此,我们着手揭示39种双喹啉鎓抑制剂的可能结合位点,深入研究更好的蛋白质-配体复合物的结构要求。对该系列进行了分子对接和3D-QSAR研究,即比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)。活性位点的信息是通过Sybyl的位点识别搜索和molcad表面计算获得的,这进一步用于对接研究。在3D-QSAR中,从模型中获得了最佳预测结果,其中训练集中考虑了29种化合物,测试集中考虑了其余10种化合物。CoMFA的最佳统计结果为r(2) = 0.99,q(2) = 0.81,而CoMSIA的结果为r(2) = 0.98,q(2) = 0.77。通过将生成的3D-QSAR图谱与对接构象叠加在活性位点残基上,对结果进行了比较分析。由于尚未报道ChoK的配体共结晶结构,本研究为配体的结合构象及其与活性位点的相互作用提供了有价值的线索。