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Chemoproteomics Technology for Target Protein Profiling and its Applications for Drug Discovery

机译:靶蛋白质分析的化学策略技术及其药物发现应用

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1. Dasatinib and Iressa represent excellent test reagents for a new chemoproteomic method since their target profiles have been extensively interrogated using in vitro kinome assays in addition to orthogonal chemoproteomic methods. 2. Affinity binning possessed a high positive predictive potential for the main targets of both Iressa and Dasatinib from HeLa and K562 cellular lysates, respectively. 3. Affinity binning experiments can be conducted in a rapid format, informing on target profiles of relevant chemical matter on a time scale amenable to the progression of a drug discovery program. 4. A small number of targets from Dasatinib did not produce positive affinity binning results, potentially due to the formation of target:target complexes or from sample processing errors. 5. More complex multi-targeted inhibitors may benefit from the combination of affinity binning and competition datasets. 6. Determination of phenotype contributions from the relevant targets will require integration of the chemoproteomic datasets with pathway analyses and gene expression data.
机译:1. Dasatinib和Iressa代表了新的化学蛋白质方法的优异测试试剂,因为除了正交的化学蛋白质方法之外,它们的靶曲线已经使用体外肺组合物进行了广泛询问。 2.亲和力分别分别具有来自HeLa和K562细胞裂解物的Iressa和Dasatinib的主要目标的高阳性预测潜力。 3.亲和力融合实验可以以快速的形式进行,以便在适用于药物发现计划的进展的时间范围内了解相关化学物质的目标谱。 4.来自Dasatinib的少量靶没有产生阳性亲和力分子结果,可能是由于目标的形成:靶复合物或来自样品处理误差。 5.更复杂的多目标抑制剂可以受益于亲和融合和竞争数据集的组合。 6.确定来自相关靶标的表型贡献需要与途径分析和基因表达数据集成化学蛋白酶数据集。

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