Suppr超能文献

用于阐明药物作用机制的蛋白质组学方法。

Proteomics approach to illustrate drug action mechanisms.

作者信息

Wang Ying, Chiu Jen-Fu, He Qing-Yu

机构信息

Department of Chemistry, The University of Hong Kong, Pokfulam, Hong Kong, China.

出版信息

Curr Drug Discov Technol. 2006 Sep;3(3):199-209. doi: 10.2174/157016306780136763.

Abstract

The recently developed proteomic technology features high-throughput parallel analysis of all proteins expressed from a genome, and thus opens up the possibility of providing details on the molecular mechanisms in a global level. Proteomic approaches combined with other biochemical methods can reconstruct regulatory networks, signaling cascades and metabolic pathways upon drug treatment. In this review, an overview will be given on recent progresses in proteomic research strategies that have an impact on drug discovery and their applications in illustrating action mechanisms of anticancer drugs including angiogenesis inhibitors, predicting drug resistance, and examining signaling pathways and phosphoproteome alterations upon drug treatment. The review concludes by exemplifying concrete data-driven studies in pharmaceutical research, which demonstrate the value of integrated proteomic platforms for drug target identification and validation, screening assay development, as well as the evaluations of drug candidate efficacy and toxicity.

摘要

最近开发的蛋白质组学技术具有对基因组表达的所有蛋白质进行高通量平行分析的特点,从而为在全球范围内详细阐述分子机制提供了可能性。蛋白质组学方法与其他生化方法相结合,可以在药物治疗后重建调控网络、信号级联和代谢途径。在这篇综述中,将概述蛋白质组学研究策略的最新进展,这些进展对药物发现有影响,以及它们在阐明包括血管生成抑制剂在内的抗癌药物作用机制、预测耐药性以及研究药物治疗后的信号通路和磷酸化蛋白质组变化方面的应用。综述最后举例说明了药物研究中具体的数据驱动研究,这些研究证明了综合蛋白质组学平台在药物靶点识别和验证、筛选分析方法开发以及药物候选物疗效和毒性评估方面的价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验