Rational Design of Covalent Kinase Inhibitors by an Integrated Computational Workflow (Kin-Cov)
Yang Zhou, Hang Yu, Anna Vind, Lulu Kong, Yiling Liu, Xiaojuan Song, Zhengchao Tu, Cai‐Hong Yun, Jeff Bruce Smaill, Qingwen Zhang, Ke Ding, Simon Bekker‐Jensen, Xiaoyun Lu · Journal of Medicinal Chemistry · 2023
Covalent kinase inhibitors (CKIs) hold great promise for drug development. However, examples of computationally guided design of CKIs are still scarce. Here, we present an integrated computational workflow (Kin-Cov) for rational design of CKIs. The design of the first covalent leucine-zipper and sterile-α motif kinase (ZAK) inhibitor was presented as an example to showcase the power of computational workflow for CKI design. The two representative compounds, 7 and 8, inhibited ZAK kinase with half-maximal inhibitory concentration (IC 50 ) values of 9.1 and 11.5 nM, respectively. Compound 8 displayed an excellent ZAK target specificity in Kinome profiling against 378 wild-type kinases. Structural biology and cell-based Western blot washout assays validated the irreversible binding characteristics of the compounds. Our study presents a rational approach for the design of CKIs based on the reactivity and accessibility of nucleophilic amino acid residues in a kinase. The workflow is generalizable and can be applied to facilitate CKI-based drug design.