Chen Gang, Luo Xiaomin, Zhu Weiliang, Luo Cheng, Liu Hong, Puah Chum Mok, Chen Kaixian, Jiang Hualiang
Drug Discovery & Design Center and State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, PR China.
Bioorg Med Chem. 2004 May 1;12(9):2409-17. doi: 10.1016/j.bmc.2004.02.001.
Epidermal growth factor receptor (EGFR) protein tyrosine kinases (PTKs) are attractive targets for anti-tumor drug design. Although thousands of their ligands have been studied as potential inhibitors against PTKs, there is no QSAR study that covers different kinds of inhibitors with observable structural diversity. However, by using this approach, we could mine far more useful information. Hence in order to better understand the binding model and the relationship between the physicochemical properties and the inhibitory activities of different kind of various inhibitors, molecular docking and 3D-QSAR, viz. CoMFA and CoMSIA, were combined to study 124 reported inhibitors with different scaffolds. Based on the docked binding conformations, highly reliable and predictive 3D-QSAR models were derived, which reveal how steric, electrostatic, and hydrophobic interactions contribute to inhibitors' bioactivities. This result also demonstrates that it is possible to include different kinds of inhibitors with observable structural diversity into one 3D-QSAR study. Therefore, this study not only casts light on binding mechanism between EGFR and its inhibitors, but also provides new hints for de novo design of new EGFR inhibitors with observable structural diversity.
表皮生长因子受体(EGFR)蛋白酪氨酸激酶(PTK)是抗肿瘤药物设计的有吸引力的靶点。尽管已经研究了数千种其配体作为针对PTK的潜在抑制剂,但尚无涵盖具有可观察到的结构多样性的不同类型抑制剂的定量构效关系(QSAR)研究。然而,通过使用这种方法,我们可以挖掘出更多有用的信息。因此,为了更好地理解不同类型抑制剂的结合模型以及物理化学性质与抑制活性之间的关系,将分子对接和3D-QSAR(即比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA))相结合,研究了124种报道的具有不同骨架的抑制剂。基于对接的结合构象,推导了高度可靠且具有预测性的3D-QSAR模型,这些模型揭示了空间、静电和疏水相互作用如何影响抑制剂的生物活性。该结果还表明,有可能将具有可观察到的结构多样性的不同类型抑制剂纳入一项3D-QSAR研究中。因此,本研究不仅阐明了EGFR与其抑制剂之间的结合机制,还为从头设计具有可观察到的结构多样性的新型EGFR抑制剂提供了新的线索。