Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok krt 2, H-1117, Budapest, Hungary.
MS Metabolomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok krt 2, H-1117, Budapest, Hungary.
Eur J Med Chem. 2018 Dec 5;160:94-107. doi: 10.1016/j.ejmech.2018.10.010. Epub 2018 Oct 6.
Targeted covalent inhibitors have become an integral part of a number of therapeutic protocols and are the subject of intense research. The mechanism of action of these compounds involves the formation of a covalent bond with protein nucleophiles, mostly cysteines. Given the abundance of cysteines in the proteome, the specificity of the covalent inhibitors is of utmost importance and requires careful optimization of the applied warheads. In most of the cysteine targeting covalent inhibitor programs the design strategy involves incorporating Michael acceptors into a ligand that is already known to bind non-covalently. In contrast, we suggest that the reactive warhead itself should be tailored to the reactivity of the specific cysteine being targeted, and we describe a strategy to achieve this goal. Here, we have extended and systematically explored the available organic chemistry toolbox and characterized a large number of warheads representing different chemistries. We demonstrate that in addition to the common Michael addition, there are other nucleophilic addition, addition-elimination, nucleophilic substitution and oxidation reactions suitable for specific covalent protein modification. Importantly, we reveal that warheads for these chemistries impact the reactivity and specificity of covalent fragments at both protein and proteome levels. By integrating surrogate reactivity and selectivity models and subsequent protein assays, we define a road map to help enable new or largely unexplored covalent chemistries for the optimization of cysteine targeting inhibitors.
靶向共价抑制剂已成为许多治疗方案的重要组成部分,也是研究的热点。这些化合物的作用机制涉及与蛋白质亲核试剂(主要是半胱氨酸)形成共价键。鉴于半胱氨酸在蛋白质组中的丰富度,共价抑制剂的特异性至关重要,需要对应用的弹头进行仔细优化。在大多数靶向半胱氨酸的共价抑制剂项目中,设计策略涉及将迈克尔受体纳入已经知道非共价结合的配体中。相比之下,我们认为反应性弹头本身应该根据目标特定半胱氨酸的反应性进行定制,我们描述了实现这一目标的策略。在这里,我们扩展并系统地探索了现有的有机化学工具箱,并对代表不同化学性质的大量弹头进行了表征。我们证明,除了常见的迈克尔加成反应外,还有其他亲核加成、加成消除、亲核取代和氧化反应适用于特定的共价蛋白质修饰。重要的是,我们揭示了这些化学性质的弹头会影响共价片段在蛋白质和蛋白质组水平上的反应性和特异性。通过整合替代反应性和选择性模型以及随后的蛋白质测定,我们定义了一个路线图,以帮助启用新的或尚未充分探索的共价化学,从而优化靶向半胱氨酸的抑制剂。