药物靶点
计算生物学
化学
质谱法
药物发现
鉴定(生物学)
限制
蛋白质组学
药品
药物开发
串联质量标签
工作流程
化学生物学
无标记量化
蛋白质水解
等压标记
推定
蛋白质组
串联质谱法
生物素
靶蛋白
生物化学
计算机科学
机制(生物学)
药物
作者
Hao Chen,Hai Liu,Yihe Tian,Yan Liu,Fosheng Tang,Jiangqi Huang,Weijie Peng,Jianqiong Yang
标识
DOI:10.1021/acs.jproteome.5c00565
摘要
The identification of drug targets is fundamental to drug development. Traditional affinity-based target screening methods, including chemical biology probes and biotin labeling techniques, rely on the presumption of pre-existing knowledge of targets, thereby limiting their ability to uncover novel mechanisms of action. Recently, limited proteolysis combined with mass spectrometry (LiP-MS) has emerged as a hypothesis-free approach. By detecting drug-induced conformational alterations in proteins and integrating these observations with high-throughput mass spectrometry analysis, LiP-MS enables target identification without prior chemical modification. This article presents a comprehensive review of the underlying principles and workflow of LiP-MS, focusing on recent advancements, existing challenges, and strategies for its integration with complementary technologies. Furthermore, it delineates the advantages of LiP-MS relative to conventional proteomic methods and summarizes drug targets identified through LiP-MS in recent studies.
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