Peng Tao, Pei Jianfeng, Zhou Jiaju
Laboratory of Computer Chemistry (LCC), Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100080, People's Republic of China.
J Chem Inf Comput Sci. 2003 Jan-Feb;43(1):298-303. doi: 10.1021/ci0256034.
A set of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors was investigated with the aim of developing 3D-QSAR models using the Flexible Atom Receptor Model (FLARM) method. Some 3D-QSAR models were built with high correlation coefficients, and the FLARM method predicted the biological activities of compounds in test set well. The FLARM method also gave the pseudoreceptor model, which indicates the possible interactions between the receptor and the ligand. The possible interactions include two hydrogen bonds, one hydrophobic interaction, and one sulfur-aromatic interaction, which are in accord with those in the pharmacophore model given by the scientists at Novartis. This shows that the FLARM method can bridge 3D-QSAR and receptor modeling in computer-aided drug design. Pharmacophore can be obtained according to these results, and 3D searching can then be done with databases to find the lead compound of EGFR tyrosine kinase inhibitors.
为了使用灵活原子受体模型(FLARM)方法开发3D-QSAR模型,研究了一组表皮生长因子受体(EGFR)酪氨酸激酶抑制剂。构建了一些具有高相关系数的3D-QSAR模型,并且FLARM方法对测试集中化合物的生物活性预测良好。FLARM方法还给出了虚拟受体模型,该模型表明了受体与配体之间可能的相互作用。可能的相互作用包括两个氢键、一个疏水相互作用和一个硫-芳香族相互作用,这与诺华科学家给出的药效团模型中的相互作用一致。这表明FLARM方法可以在计算机辅助药物设计中架起3D-QSAR与受体建模之间的桥梁。根据这些结果可以获得药效团,然后可以使用数据库进行3D搜索以找到EGFR酪氨酸激酶抑制剂的先导化合物。