Structural Biology and Bioinformatics Division, Indian Institute of Chemical Biology, 4, Raja S.C. Mullick Road, Jadavpur, Calcutta, 700032, India.
Mol Divers. 2010 Feb;14(1):27-38. doi: 10.1007/s11030-009-9137-9. Epub 2009 Mar 28.
The present article is an attempt to formulate the three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling of 4-anilinoquinazoline derivatives having promising anticancer activities inhibiting epidermal growth factor (EGFR) kinase. Molecular field analysis was applied for the generation of steric and electrostatic descriptors based on aligned structures. Partial least-squares (PLS) method was applied for QSAR model development considering training and test set approaches. The PLS models showed some interesting results in terms of internal and external predictability against EGFR kinase inhibition for such type of anilinoquinazoline derivatives. Steric and electrostatic field effects are discussed in the light of contribution plot generated. Finally, molecular docking analysis was carried out to better understand of the interactions between EGFR target and inhibitors in this series. Hydrophobic and hydrogen-bond interactions lead to identification of active binding sites of EGFR protein in the docked complex.
本文旨在构建具有潜在抗癌活性的 4-苯胺基喹唑啉衍生物抑制表皮生长因子(EGFR)激酶的三维定量构效关系(3D-QSAR)模型。分子场分析用于基于对齐结构生成立体和静电描述符。偏最小二乘(PLS)方法用于 QSAR 模型的开发,考虑了训练集和测试集方法。这些 PLS 模型在针对 EGFR 激酶抑制的此类苯胺喹唑啉衍生物的内部和外部可预测性方面显示了一些有趣的结果。根据生成的贡献图讨论了立体和静电场效应。最后,进行了分子对接分析,以更好地理解该系列中 EGFR 靶标和抑制剂之间的相互作用。疏水性和氢键相互作用导致鉴定出 EGFR 蛋白在对接复合物中的活性结合位点。