Shirvani Pouria, Fassihi Afshin
Department of Medicinal Chemistry, Faculty of Pharmacy and Pharmaceutical Science, Isfahan University of Medical Science, Isfahan, Iran.
Bioinformatics Research Center, Isfahan university of Medical Science, Isfahan, Iran.
J Biomol Struct Dyn. 2022 Aug;40(13):5965-5982. doi: 10.1080/07391102.2021.1875880. Epub 2021 Jan 21.
Focal adhesion kinase (FAK) is a cytoplasmic tyrosine kinase that plays a crucial role in integrin signaling that regulates essential cellular functions including growth, motility, proliferation and survival in different types of cells. Interestingly, it has also shown to be up-regulated in various types of tumors, hence it has emerged as a significant therapeutic target for the development of selective inhibitors. In present work, with the aim of achieving further insight into the structural characteristics required for the FAK inhibitory activity, a combined approach of molecular modeling studies including molecular docking, three-dimensional quantitative structure activity relationship (3D-QSAR) and molecular dynamics (MD) simulation were carried out on a series of 7-pyrrolo[2,3-]pyrimidine and thieno[3,2-]pyrimidine FAK inhibitors. The probable binding modes and interactions of inhibitors into the FAK active site were predicted by molecular docking. The 3D-QSAR models were developed using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods, with three ligand-based, docking-based and receptor-based alignment techniques. Both CoMFA and CoMSIA models obtained from receptor-based alignment were superior to the ones obtained by other alignment methods. However, the CoMSIA model (q = 0.679, r = 0.954 and r = 0.888) depicted almost better predictive ability than the CoMFA model (q = 0.617, r = 0.932 and r = 0.856). The contour map analysis revealed the relationship between the structural features and inhibitory activity. The docking results and CoMFA and CoMSIA contour maps were in good accordance. Based on the information obtained from the molecular docking and contour map analysis, a series of novel FAK inhibitors were designed that showed better predicted inhibitory activity than the most potent compound in the data set. Finally, the stability of the reference molecule and the designed compounds and were evaluated through a 30 ns of MD simulation and their binding free energies were calculated using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method. The result of MD simulation and binding free energy decomposition demonstrated the important role of van der Waals interactions alongside H-bond ones that were in consistent with the docking and contour maps analysis results. In sum, the results from this study may provide a significant insight for developing more effective novel FAK inhibitors.Communicated by Ramaswamy H. Sarma.
黏着斑激酶(FAK)是一种细胞质酪氨酸激酶,在整合素信号传导中起关键作用,该信号传导调节不同类型细胞中的基本细胞功能,包括生长、运动、增殖和存活。有趣的是,它在各种类型的肿瘤中也显示出上调,因此它已成为开发选择性抑制剂的重要治疗靶点。在目前的工作中,为了进一步深入了解FAK抑制活性所需的结构特征,对一系列7-吡咯并[2,3-]嘧啶和噻吩并[3,2-]嘧啶FAK抑制剂进行了包括分子对接、三维定量构效关系(3D-QSAR)和分子动力学(MD)模拟在内的分子建模研究的组合方法。通过分子对接预测了抑制剂在FAK活性位点的可能结合模式和相互作用。使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)方法,采用三种基于配体、基于对接和基于受体的比对技术建立了3D-QSAR模型。从基于受体的比对获得的CoMFA和CoMSIA模型均优于通过其他比对方法获得的模型。然而,CoMSIA模型(q = 0.679,r = 0.954和r = 0.888)的预测能力几乎比CoMFA模型(q = 0.617,r = 0.932和r = 0.856)更好。等高线图分析揭示了结构特征与抑制活性之间的关系。对接结果与CoMFA和CoMSIA等高线图吻合良好。基于从分子对接和等高线图分析获得的信息,设计了一系列新型FAK抑制剂,其预测抑制活性比数据集中最有效的化合物更好。最后,通过30 ns的MD模拟评估了参考分子以及设计的化合物和的稳定性,并使用分子力学泊松-玻尔兹曼表面积(MM-PBSA)方法计算了它们的结合自由能。MD模拟和结合自由能分解的结果证明了范德华相互作用以及氢键相互作用的重要作用,这与对接和等高线图分析结果一致。总之,本研究的结果可能为开发更有效的新型FAK抑制剂提供重要见解。由Ramaswamy H. Sarma传达。