Computational Science Center, Korea Institute of Science and Technology, Seoul, Korea.
J Mol Model. 2010 Feb;16(2):263-77. doi: 10.1007/s00894-009-0534-x. Epub 2009 Jul 10.
Members of the epidermal growth factor receptor (EGFR) family of proteins are frequently overactive in solid tumors. A relatively new therapeutic approach to inhibit the kinase activity is the use of ATP-competitive small molecules. In silico techniques were employed to identify the key interactions between inhibitors and their protein receptors. A series of EGFR inhibitory anilinoquinolines was studied within the framework of hologram quantitative structure activity relationship (HQSAR), density functional theory (DFT)-based QSAR, and three-dimensional (3D) QSAR (CoMFA/CoMSIA). The HQSAR analysis implied that substitutions at certain sites on the inhibitors play an important role in EGFR inhibition. DFT-based QSAR results suggested that steric and electronic interactions contributed significantly to the activity. Ligand-based 3D-QSAR and receptor-guided 3D-QSAR analyses such as CoMFA and CoMSIA techniques were carried out, and the results corroborated the previous two approaches. The 3D QSAR models indicated that steric and hydrophobic interactions are dominant, and that substitution patterns are an important factor in determining activity. Molecular docking was helpful in identifying a bioactive conformer as well as a plausible binding mode. The docked geometry-based CoMFA model with steric and electrostatic fields effect gave q(2) = 0.66, r(2) = 0.94 with r(2) (predictive) = 0.72. Similarly, CoMSIA with hydrophobic field gave q(2) = 0.59, r(2) = 0.85 with r(2) (predictive) = 0.63. Bulky groups around site 3 of ring "C", and hydrophilic and bulky groups at position 6 of ring "A" are desirable, with a hydrophobic and electron-donating group at site 7 of ring "A" being helpful. Accordingly, potential EGFR inhibitors may be designed by modification of known inhibitors.
表皮生长因子受体(EGFR)家族的蛋白质成员在实体瘤中经常过度活跃。一种抑制激酶活性的相对较新的治疗方法是使用 ATP 竞争性小分子。本文采用计算机技术来确定抑制剂与其蛋白质受体之间的关键相互作用。在全息定量构效关系(HQSAR)、基于密度泛函理论(DFT)的 QSAR 和三维(3D)QSAR(CoMFA/CoMSIA)框架内研究了一系列 EGFR 抑制苯胺喹啉。HQSAR 分析表明,抑制剂上某些位置的取代对 EGFR 抑制起着重要作用。DFT 基于 QSAR 的结果表明,立体和电子相互作用对活性有重要贡献。进行了基于配体的 3D-QSAR 和基于受体的 3D-QSAR 分析,如 CoMFA 和 CoMSIA 技术,结果证实了前两种方法。3D QSAR 模型表明,立体和疏水性相互作用占主导地位,取代模式是决定活性的一个重要因素。分子对接有助于识别生物活性构象和可能的结合模式。基于对接几何的 CoMFA 模型具有立体和静电场效应,q(2) = 0.66,r(2) = 0.94,r(2)(预测)= 0.72。同样,具有疏水场的 CoMSIA 得到 q(2) = 0.59,r(2) = 0.85,r(2)(预测)= 0.63。环“C”第 3 位周围的大基团,环“A”第 6 位的亲水性和大基团,以及环“A”第 7 位的疏水性和供电子基团都是有利的。因此,可以通过修饰已知的抑制剂来设计潜在的 EGFR 抑制剂。