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首页> 外文期刊>Pharmacology and Therapeutics: The Journal of the International Encyclopedia of Pharmacology and Therapeutics >Target identification of natural and traditional medicines with quantitative chemical proteomics approaches
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Target identification of natural and traditional medicines with quantitative chemical proteomics approaches

机译:使用定量化学蛋白质组学方法对天然和传统药物进行目标识别

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Natural and traditional medicines, being a great source of drugs and drug leads, have regained wide interests due to the limited success of high-throughput screening of compound libraries in the past few decades and the recent technology advancement. Many drugs/bioactive compounds exert their functions through interaction with their protein targets, with more and more drugs showing their ability to target multiple proteins, thus target identification has an important role in drug discovery and biomedical research fields. Identifying drug targets not only furthers the understanding of the mechanism of action (MOA) of a drug but also reveals its potential therapeutic applications and adverse side effects. Chemical proteomics makes use of affinity chromatography approaches coupled with mass spectrometry to systematically identify small molecule protein interactions. Although traditional affinity-based chemical proteomics approaches have made great progress in the identification of cellular targets and elucidation of MOAs of many bioactive molecules, nonspecific binding remains a major issue which may reduce the accuracy of target identification and may hamper the drug development process. Recently, quantitative proteomics approaches, namely, metabolic labeling, chemical labeling, or label-free approaches, have been implemented in target identification to overcome such limitations. In this review, we will summarize and discuss the recent advances in the application of various quantitative chemical proteomics approaches for the identification of targets of natural and traditional medicines. (C) 2016 Published by Elsevier Inc.
机译:天然和传统药物作为药物和药物线索的重要来源,由于在过去几十年中化合物库的高通量筛选的成功有限以及最近的技术进步,已经引起了广泛的关注。许多药物/生物活性化合物通过与蛋白质靶标相互作用来发挥其功能,越来越多的药物显示出它们靶向多种蛋白质的能力,因此靶标鉴定在药物发现和生物医学研究领域中具有重要作用。确定药物靶标不仅可以进一步理解药物的作用机理(MOA),而且可以揭示其潜在的治疗应用和不良副作用。化学蛋白质组学利用亲和色谱法和质谱法来系统地识别小分子蛋白质相互作用。尽管传统的基于亲和力的化学蛋白质组学方法在确定细胞靶标和阐明许多生物活性分子的MOA方面已取得了很大进展,但非特异性结合仍然是一个主要问题,可能会降低靶标鉴定的准确性并可能阻碍药物开发过程。最近,在目标识别中已经采用了定量蛋白质组学方法,即代谢标记,化学标记或无标记方法来克服这种局限性。在这篇综述中,我们将总结和讨论各种定量化学蛋白质组学方法在鉴定天然药物和传统药物靶标方面的最新进展。 (C)2016由Elsevier Inc.发布

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