Shen Chao, Liu Hui, Wang Xuwen, Lei Tailong, Wang Ercheng, Xu Lei, Yu Huidong, Li Dan, Yao Xiaojun
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
School of Electrical and Information Engineering, Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou, China.
Front Pharmacol. 2019 Apr 9;10:345. doi: 10.3389/fphar.2019.00345. eCollection 2019.
NF-κB inducing kinase (NIK), which is considered as the central component of the non-canonical NF-κB pathway, has been proved to be an important target for the regulation of the immune system. In the past few years, NIK inhibitors with various scaffolds have been successively reported, among which type I inhibitors that can not only bind in the ATP-binding pocket at the DFG-in state but also extend into an additional back pocket, make up the largest proportion of the NIK inhibitors, and are worthy of more attention. In this study, an integration protocol that combines molecule docking, MD simulations, ensemble docking, MM/GB(PB)SA binding free energy calculations, and decomposition was employed to understand the binding mechanism of 21 tricyclic type I NIK inhibitors. It is found that the docking accuracy is largely dependent on the selection of docking protocols as well as the crystal structures. The predictions given by the ensemble docking based on multiple receptor conformations (MRCs) and the MM/GB(PB)SA calculations based on MD simulations showed higher linear correlations with the experimental data than those given by conventional rigid receptor docking (RRD) methods (Glide, GOLD, and Autodock Vina), highlighting the importance of incorporating protein flexibility in predicting protein-ligand interactions. Further analysis based on MM/GBSA demonstrates that the hydrophobic interactions play the most essential role in the ligand binding to NIK, and the polar interactions also make an important contribution to the NIK-ligand recognition. A deeper comparison of several pairs of representative derivatives reveals that the hydrophobic interactions are vitally important in the structural optimization of analogs as well. Besides, the H-bond interactions with some key residues and the large desolvation effect in the back pocket devote to the affinity distinction. It is expected that our study could provide valuable insights into the design of novel and potent type I NIK inhibitors.
核因子κB诱导激酶(NIK)被认为是非经典核因子κB信号通路的核心组成部分,已被证明是免疫系统调节的重要靶点。在过去几年中,陆续报道了具有各种骨架的NIK抑制剂,其中I型抑制剂不仅能在DFG-in状态下结合于ATP结合口袋,还能延伸至一个额外的后口袋,在NIK抑制剂中占比最大,值得更多关注。在本研究中,采用了一种整合方案,该方案结合了分子对接、分子动力学模拟、 ensemble对接、MM/GB(PB)SA结合自由能计算和分解,以了解21种三环I型NIK抑制剂的结合机制。研究发现,对接准确性在很大程度上取决于对接协议的选择以及晶体结构。基于多个受体构象(MRC)的ensemble对接和基于分子动力学模拟的MM/GB(PB)SA计算给出的预测与实验数据的线性相关性高于传统刚性受体对接(RRD)方法(Glide、GOLD和Autodock Vina)给出的预测,突出了在预测蛋白质-配体相互作用中纳入蛋白质柔性的重要性。基于MM/GBSA的进一步分析表明,疏水相互作用在配体与NIK的结合中起最关键作用,极性相互作用对NIK-配体识别也有重要贡献。对几对代表性衍生物的深入比较表明,疏水相互作用在类似物的结构优化中也至关重要。此外,与一些关键残基的氢键相互作用以及后口袋中的大去溶剂化效应有助于亲和力差异。预计我们的研究可为新型高效I型NIK抑制剂的设计提供有价值的见解。