Brown Charles P, Armstrong Alan, Mann David J
Department of Chemistry, Imperial College London, Molecular Sciences Research Hub; Department of Life Sciences, Imperial College London, South Kensington Campus.
Department of Chemistry, Imperial College London, Molecular Sciences Research Hub.
J Vis Exp. 2025 Feb 28(216). doi: 10.3791/67178.
Compounds that form covalent bonds with specific target proteins offer a variety of advantages as chemical probes and therapeutic agents. Most commonly, mildly reactive, electrophilic small molecules are employed to form covalent bonds with select cysteine side chains in specific proteins. Electrophile-first approaches of ligand discovery, whereby a library of electrophilic small molecules are screened against a protein target, have become popular as they avoid the need for time-consuming downstream installation of an electrophilic warhead. Such screening is complicated, however, as electrophilic ligands can exhibit a wide range of different rates of spontaneous reaction with cysteines. Quantitative-irreversible tethering (qIT) offers a fluorescence-based method for hit identification and development that normalizes data for these differences in intrinsic compound reactivity. Rates of reaction of individual compounds with a target protein are determined and compared to compound reactivity with the unstructured tripeptide glutathione (this being a proxy for spontaneous compound reaction), enabling the identification of compounds that preferentially react with the protein of interest. This methodology has been successfully applied to identify selective covalent fragments against several drug targets, including SARS-CoV-2 main protease, cyclin-dependent kinase 2, and RAP27A. Here, we demonstrate the application of qIT to a target protein to generate a quantitative and robust data set, allowing prioritization of hit ligands for future development.
与特定靶蛋白形成共价键的化合物作为化学探针和治疗剂具有多种优势。最常见的是,使用反应性温和的亲电小分子与特定蛋白质中选定的半胱氨酸侧链形成共价键。亲电试剂优先的配体发现方法,即针对蛋白质靶标筛选亲电小分子文库,因其无需耗时的亲电弹头下游安装步骤而变得流行。然而,这种筛选很复杂,因为亲电配体与半胱氨酸的自发反应速率范围很广。定量不可逆连接(qIT)提供了一种基于荧光的命中识别和开发方法,可对这些内在化合物反应性差异的数据进行归一化。确定单个化合物与靶蛋白的反应速率,并与化合物与无结构三肽谷胱甘肽的反应性进行比较(这是自发化合物反应的替代指标),从而能够识别优先与感兴趣蛋白质反应的化合物。该方法已成功应用于鉴定针对多种药物靶标的选择性共价片段,包括SARS-CoV-2主要蛋白酶、细胞周期蛋白依赖性激酶2和RAP27A。在这里,我们展示了qIT在靶蛋白上的应用,以生成定量且可靠的数据集,从而为未来开发的命中配体进行优先级排序。