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Systems biology analysis of protein-drug interactions

机译:蛋白质 - 药物相互作用的系统生物学分析

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Drugs induce global perturbations at the molecular machinery level because their cognate targets are involved in multiple biological functions or because of off-target effects. The analysis or the prediction of such systems level consequences of drug treatment therefore requires the application of systems biology concepts and methods. In this review, we first summarize the methods of chemical proteomics that can measure unbiased and proteome-wide drug protein target spectra, which is an obvious necessity to perform a global analysis. We then focus on the introduction of computational methods and tools to relate such target spectra to global models such as pathways and networks of protein-protein interactions, and to integrate them with existing protein functional annotations. In particular, we discuss how drug treatment can be mapped onto likely affected biological functions, how this can help identifying drug mechanisms of action, and how such mappings can be exploited to predict potential side effects and to suggest new indications for existing compounds.
机译:药物在分子机械水平下诱导全球扰动,因为它们的同源靶标在多种生物学功能中或由于偏离目标效应。因此,对药物治疗的这种系统水平后果的分析或预测需要应用系统生物学概念和方法。在本综述中,我们首先总结了能够测量无偏异和蛋白质组药物蛋白靶谱的化学蛋白质组学的方法,这是执行全局分析的明显需要。然后,我们专注于引入计算方法和工具,以将这些目标光谱与诸如蛋白质 - 蛋白质相互作用的途径和网络等全局模型相关,并将它们与现有的蛋白质功能注释相容。特别是,我们讨论了药物治疗如何映射到可能影响的生物学功能,如何有助于识别药物的作用机制,以及如何利用这种映射来预测潜在的副作用,并为现有化合物提出新的适应症。

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