School of Pharmaceutical Sciences, Jiangnan University, Wuxi, China.
Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China.
Chem Biol Drug Des. 2019 May;93(5):818-831. doi: 10.1111/cbdd.13469. Epub 2019 Jan 11.
The phosphoinositide 3-kinase γ (PI3Kγ) has been verified to be a potential drug target for the treatments of various human physical disorders. Although received lots of attention, the development of PI3Kγ-selective inhibitors is still a challenging subject because of its unique protein structural features. Aiming to uncover the interaction mechanism between the selective inhibitors and PI3Kγ, a series of benzothiazole and thiazolopiperidine PI3Kγ isoform-selective inhibitors were studied with an integrated in silico strategy by combining molecular docking, molecular dynamic simulations, binding free energy calculations, and decomposition analysis. Firstly, three molecular docking models, including rigid receptor docking, induced fit docking (IFD), and quantum mechanical-polarized ligand docking, were respectively, built, and the IFD preliminarily predicted the docking poses of all studied inhibitors and roughly analyzed the binding mechanism. Secondly, four binding complexes with representative inhibitors were selected to perform molecular dynamic simulations and free energy calculations. The predicted binding energies were consistent with the experimental bioactivities and different binding patterns between potent and weak inhibitors were uncovered. Finally, through the Molecular Mechanics/Generalized Born Surface Area binding free energy decomposition, residue-inhibitor interactions spectra were obtained and several key residues contributing to favorable binding were highlighted, which provides valuable information for rational PI3Kγ inhibitor design and modification.
磷酸肌醇 3-激酶γ(PI3Kγ)已被证实是治疗各种人体生理紊乱的潜在药物靶点。尽管受到了广泛关注,但由于其独特的蛋白质结构特征,PI3Kγ 选择性抑制剂的开发仍然是一个具有挑战性的课题。为了揭示选择性抑制剂与 PI3Kγ 之间的相互作用机制,我们采用了一种综合的计算策略,结合分子对接、分子动力学模拟、结合自由能计算和分解分析,研究了一系列苯并噻唑和噻唑并哌啶 PI3Kγ 同工型选择性抑制剂。首先,我们分别构建了三个分子对接模型,包括刚性受体对接、诱导契合对接(IFD)和量子力学极化配体对接,并通过 IFD 初步预测了所有研究抑制剂的对接构象,并大致分析了结合机制。其次,选择了四个具有代表性抑制剂的结合复合物进行分子动力学模拟和自由能计算。预测的结合能与实验生物活性一致,并揭示了有效抑制剂和弱效抑制剂之间不同的结合模式。最后,通过分子力学/广义 Born 表面积结合自由能分解,得到了残基-抑制剂相互作用谱,并突出了几个对有利结合有贡献的关键残基,为合理的 PI3Kγ 抑制剂设计和修饰提供了有价值的信息。