Liu Chang, Li Zhizhen, Liu Zonghan, Yang Shiye, Wang Qing, Chai Zongtao
Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University (Navy Medical University), Shanghai, China.
Department of Biliary Surgery I, Eastern Hepatobiliary Surgery Hospital, The Second Military Medical University (Navy Medical University), Shanghai, China.
Front Mol Biosci. 2022 May 10;9:901603. doi: 10.3389/fmolb.2022.901603. eCollection 2022.
As a member of the death-associated protein kinase family of serine/threonine kinases, the STK17B has been associated with diverse diseases such as hepatocellular carcinoma. However, the conformational dynamics of the phosphate-binding loop (P-loop) in the determination of inhibitor selectivity profile to the STK17B are less understood. Here, a multi-microsecond length molecular dynamics (MD) simulation of STK17B in the three different states (ligand-free, ADP-bound, and ligand-bound states) was carried out to uncover the conformational plasticity of the P-loop. Together with the analyses of principal component analysis, cross-correlation and generalized correlation motions, secondary structural analysis, and community network analysis, the conformational dynamics of the P-loop in the different states were revealed, in which the P-loop flipped into the ADP-binding site upon the inhibitor binding and interacted with the inhibitor and the C-lobe, strengthened the communication between the N- and C-lobes. These resulting interactions contributed to inhibitor selectivity profile to the STK17B. Our results may advance our understanding of kinase inhibitor selectivity and offer possible implications for the design of highly selective inhibitors for other protein kinases.
作为丝氨酸/苏氨酸激酶死亡相关蛋白激酶家族的一员,STK17B与多种疾病相关,如肝细胞癌。然而,磷酸结合环(P环)在决定对STK17B抑制剂选择性方面的构象动力学尚不清楚。在此,对处于三种不同状态(无配体、结合ADP和结合配体状态)的STK17B进行了多微秒时长的分子动力学(MD)模拟,以揭示P环的构象可塑性。结合主成分分析、交叉相关和广义相关运动分析、二级结构分析以及群落网络分析,揭示了不同状态下P环的构象动力学,其中P环在抑制剂结合时翻转到ADP结合位点,并与抑制剂和C叶相互作用,加强了N叶和C叶之间的通信。这些相互作用导致了对STK17B抑制剂的选择性。我们的结果可能会增进我们对激酶抑制剂选择性的理解,并为设计针对其他蛋白激酶的高选择性抑制剂提供可能的启示。