School of Pharmacy, Lanzhou University, 199 West Donggang Rd., Lanzhou 730013, China.
Molecules. 2020 Dec 24;26(1):52. doi: 10.3390/molecules26010052.
The mesenchymal epithelial cell transforming factor c-Met, encoded by c-Met proto-oncogene and known as a high-affinity receptor for Hepatocyte Growth Factor (HGF), is one of the receptor tyrosine kinases (RTKs) members. The HGF/c-Met signaling pathway has close correlation with tumor growth, invasion and metastasis. Thus, c-Met kinase has emerged as a prominent therapeutic target for cancer drug discovery. Recently a series of novel 2-aminopyridine derivatives targeting c-Met kinase with high biological activity were reported. In this study, 3D quantitative structure-activity relationship (QSAR), molecular docking and molecular dynamics simulations (MD) were employed to research the binding modes of these inhibitors.The results show that both the atom-based and docking-based CoMFA (Q = 0.596, R = 0.950 in atom-based model and Q = 0.563, R = 0.985 in docking-based model) and CoMSIA (Q = 0.646, R = 0.931 in atom-based model and Q = 0.568, R = 0.983 in docking-based model) models own satisfactory performance with good reliabilities and powerful external predictabilities. Molecular docking study suggests that Tyr1230 and Arg1208 might be the key residues, and electrostatic and hydrogen bond interactions were shown to be vital to the activity, concordance with QSAR analysis. Then MD simulation was performed to further explore the binding mode of the most potent inhibitor. The obtained results provide important references for further rational design of c-Met Kinase type I inhibitors.
间质上皮细胞转化因子 c-Met,由 c-Met 原癌基因编码,被称为肝细胞生长因子(HGF)的高亲和力受体,是受体酪氨酸激酶(RTKs)家族的成员之一。HGF/c-Met 信号通路与肿瘤的生长、侵袭和转移密切相关。因此,c-Met 激酶已成为癌症药物发现的重要治疗靶点。最近,一系列针对 c-Met 激酶具有高生物活性的新型 2-氨基吡啶衍生物被报道。在本研究中,采用 3D 定量构效关系(QSAR)、分子对接和分子动力学模拟(MD)研究了这些抑制剂的结合模式。结果表明,基于原子和基于对接的 CoMFA(基于原子模型的 Q = 0.596,R = 0.950 和基于对接模型的 Q = 0.563,R = 0.985)和 CoMSIA(基于原子模型的 Q = 0.646,R = 0.931 和基于对接模型的 Q = 0.568,R = 0.983)模型都具有良好的性能,具有良好的可靠性和强大的外部预测能力。分子对接研究表明,Tyr1230 和 Arg1208 可能是关键残基,静电和氢键相互作用对活性至关重要,与 QSAR 分析一致。然后进行 MD 模拟进一步探索最有效的抑制剂的结合模式。获得的结果为进一步合理设计 c-Met 激酶 I 型抑制剂提供了重要参考。