Zhao Zheng, Liu Qingsong, Bliven Spencer, Xie Lei, Bourne Philip E
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , Bethesda, Maryland 20892, United States.
High Magnetic Field Laboratory, Chinese Academy of Sciences , Hefei, Anhui 230031, China.
J Med Chem. 2017 Apr 13;60(7):2879-2889. doi: 10.1021/acs.jmedchem.6b01815. Epub 2017 Apr 4.
Covalently bound protein kinase inhibitors have been frequently designed to target noncatalytic cysteines at the ATP binding site. Thus, it is important to know if a given cysteine can form a covalent bond. Here we combine a function-site interaction fingerprint method and DFT calculations to determine the potential of cysteines to form a covalent interaction with an inhibitor. By harnessing the human structural kinome, a comprehensive structure-based binding site cysteine data set was assembled. The orientation of the cysteine thiol group indicates which cysteines can potentially form covalent bonds. These covalent inhibitor easy-available cysteines are located within five regions: P-loop, roof of pocket, front pocket, catalytic-2 of the catalytic loop, and DFG-3 close to the DFG peptide. In an independent test set these cysteines covered 95% of covalent kinase inhibitors. This study provides new insights into cysteine reactivity and preference which is important for the prospective development of covalent kinase inhibitors.
共价结合的蛋白激酶抑制剂常常被设计用于靶向ATP结合位点处的非催化性半胱氨酸。因此,了解特定的半胱氨酸是否能够形成共价键非常重要。在此,我们结合功能位点相互作用指纹法和密度泛函理论(DFT)计算来确定半胱氨酸与抑制剂形成共价相互作用的潜力。通过利用人类结构激酶组,组装了一个基于结构的全面结合位点半胱氨酸数据集。半胱氨酸硫醇基团的取向表明哪些半胱氨酸可能形成共价键。这些易于与共价抑制剂结合的半胱氨酸位于五个区域:P环、口袋顶部、前口袋、催化环的催化-2以及靠近DFG肽的DFG-3。在一个独立测试集中,这些半胱氨酸涵盖了95%的共价激酶抑制剂。这项研究为半胱氨酸的反应性和偏好提供了新的见解,这对于共价激酶抑制剂的前瞻性开发很重要。