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Quantitative chemical proteomics for identifying candidate drug targets

机译:用于确定候选药物靶标的定量化学蛋白质组学

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We have developed a systematic strategy for drug target identification. This consists of the following sequential steps: (1) enrichment of total binding proteins using two differential affinity matrixes upon which are immobilized positive and negative chemical structures for drug activity, respectively; (2) covalent labeling of the proteins with a new cleavable isotope-coded affinity tag (ICAT) reagent, followed by proteolysis of the combined proteins; (3) isolation, identification, and relative quantification of the tagged peptides by liquid chromatography-mass spectrometry; (4) array-based transcription profiling to select candidate proteins; and (5) confirmation of direct interaction between the activity-associated structure and the selected proteins by using surface plasmon resonance. We present a typical application to identify the primary binding protein of a novel class of anticancer agents exemplified by E7070. Our results suggest that this approach provides a new aspect of quantitative proteomics to find specific binding proteins from protein mixture and should be applicable to a wide variety of biologically active small molecules with unidentified target proteins. [References: 23]
机译:我们已经开发了用于药物靶标识别的系统策略。这包括以下连续步骤:(1)使用两个不同的亲和力基质富集总结合蛋白,在其上分别固定了用于药物活性的阳性和阴性化学结构; (2)用新的可裂解同位素编码的亲和标签(ICAT)试剂对蛋白质进行共价标记,然后对合并的蛋白质进行蛋白水解; (3)通过液相色谱-质谱法分离,鉴定和相对定量标记的肽; (4)基于阵列的转录概况分析以选择候选蛋白质; (5)通过表面等离振子共振来确认活性相关结构与所选蛋白质之间的直接相互作用。我们提出了一种典型的应用,以鉴定以E7070为例的新型抗癌药物的主要结合蛋白。我们的结果表明,这种方法为定量蛋白质组学提供了一个新的方面,可以从蛋白质混合物中找到特异性结合蛋白,并且应适用于具有未知目标蛋白的多种具有生物活性的小分子。 [参考:23]

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