Proteomics-based strategies in kinase drug discovery.

M Bantscheff, C Hopf, U Kruse, G Drewes
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引用次数: 24

Abstract

Studies of drug action classically assess biochemical activity in settings which typically contain the isolated target only. Recent technical advances in mass spectrometry-based analysis of proteins have enabled the quantitative analysis of sub-proteomes and entire proteomes, thus initiating a departure from the traditional single gene--single protein--single target paradigm. Here, we review chemical proteomics-based experimental strategies in kinase drug discovery to analyse quantitatively the interaction of small molecule compounds or drugs with a defined sub-proteome containing hundreds of protein kinases and related proteins. One novel approach is based on 'Kinobeads'--an affinity resin comprised of a cocktail of immobilized broad spectrum kinase inhibitors--to monitor quantitatively the differential binding of kinases and related nucleotide-binding proteins in the presence and absence of varying concentrations of a lead compound or drug of interest. Differential binding is detected by high throughput and sensitive mass spectroscopy techniques utilizing isobaric tagging reagents (iTRAQ), yielding quantitative and detailed target binding profiles. The method can be applied to the screening of compound libraries and to selectivity profiling of lead compounds directly against their endogenously expressed targets in a range of cell types and tissue lysates. In addition, the method can be used to map drug-induced changes in the phosphorylation state of the captured sub-proteome, enabling the analysis of signalling pathways downstream of target kinases.

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基于蛋白质组学的激酶药物发现策略。
药物作用的研究通常在仅含有分离靶点的环境中评估生化活性。基于质谱的蛋白质分析的最新技术进步使亚蛋白质组和整个蛋白质组的定量分析成为可能,从而开始脱离传统的单基因-单蛋白质-单靶标范式。在这里,我们回顾了基于化学蛋白质组学的激酶药物发现实验策略,以定量分析小分子化合物或药物与包含数百种蛋白激酶和相关蛋白的定义亚蛋白质组的相互作用。一种新的方法是基于“Kinobeads”——一种由固定化广谱激酶抑制剂混合物组成的亲和树脂——在存在和不存在不同浓度的先导化合物或感兴趣的药物的情况下,定量监测激酶和相关核苷酸结合蛋白的差异结合。差分结合通过高通量和敏感的质谱技术检测,利用等压标记试剂(iTRAQ),产生定量和详细的目标结合谱。该方法可应用于化合物文库的筛选,以及直接针对其内源性表达靶标的先导化合物在一系列细胞类型和组织裂解物中的选择性分析。此外,该方法可用于绘制捕获的亚蛋白质组的磷酸化状态的药物诱导变化,从而能够分析目标激酶下游的信号通路。
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