Research Centre for Natural Sciences, Medicinal Chemistry Research Group, H-1117 Budapest, Magyar tudósok krt 2, Hungary.
Research Centre for Natural Sciences, MS Metabolomics Research Group, H-1117 Budapest, Magyar tudósok krt 2, Hungary.
Bioorg Med Chem. 2020 Apr 1;28(7):115357. doi: 10.1016/j.bmc.2020.115357. Epub 2020 Feb 11.
Targeted covalent inhibitors represent an increasingly popular approach to modulate challenging drug targets. Since covalent and non-covalent interactions are both contributing to the affinity of these compounds, evaluation of their reactivity is a key-step to find feasible warheads. There are well-established HPLC- and NMR-based kinetic assays to tackle this task, however, they use a variety of cysteine-surrogates including cysteamine, cysteine or acetyl-cysteine and GSH. The diverse nature of the thiol sources often makes the results incomparable that prevents compiling a comprehensive knowledge base for the design of covalent inhibitors. To evaluate kinetic measurements from different sources we performed a comparative analysis of the different thiol surrogates against a designed set of electrophilic fragments equipped with a range of warheads. Our study included seven different thiol models and 13 warheads resulting in a reactivity matrix analysed thoroughly. We found that the reactivity profile might be significantly different for various thiol models. Comparing the different warheads, we concluded that - in addition to its human relevance - glutathione (GSH) provided the best estimate of reactivity with highest number of true positives identified.
靶向共价抑制剂是一种越来越受欢迎的调节具有挑战性的药物靶标的方法。由于共价和非共价相互作用都有助于这些化合物的亲和力,因此评估它们的反应性是找到可行的弹头的关键步骤。已经有成熟的基于 HPLC 和 NMR 的动力学测定方法来解决这个问题,但是它们使用各种半胱氨酸类似物,包括半胱胺、半胱氨酸或乙酰半胱氨酸和 GSH。巯基源的多样性常常使得结果无法比较,从而阻止了为共价抑制剂设计构建综合知识库。为了评估来自不同来源的动力学测量结果,我们针对一组设计的亲电片段(配备了一系列弹头),对不同的巯基类似物进行了比较分析。我们的研究包括七个不同的巯基模型和 13 个弹头,从而对反应性矩阵进行了全面分析。我们发现,对于各种巯基模型,反应性谱可能有很大的不同。比较不同的弹头后,我们得出结论,除了其与人类的相关性外,谷胱甘肽(GSH)提供了对反应性的最佳估计,确定了最多的真正阳性结果。