Chemical Proteomics Probes: Classification, Applications, and Future Perspectives in Proteome-Wide Studies.

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-07-31 DOI:10.1002/pmic.70019
Xiaoyue Tan, Dan Wang, Yingrui Yao, Kaixuan Liu, Yuzhou Chen, Songsen Fu, Feng Ni
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引用次数: 0

Abstract

Chemical proteomics probes serve as critical tools for investigating small molecule-protein interactions within complex biological systems. Traditionally, they are categorized into covalent probes and photoaffinity probes. They facilitate drug target discovery, targeted ligand screening, dynamic evaluation of enzyme activities in disease contexts, protein modification mapping, and bridging proteomics with other omics platforms. Despite their significant utility, challenges remain in probe design optimization, reduction of non-specific interactions, and expansion of targetable proteomic landscapes. Future research efforts are expected to focus on the development of novel probes, the integration of chemical proteomics with structural biology and artificial intelligence, and the advancement of clinical applications. These innovations will deepen our understanding of protein functions and support the advancement of precision medicine. In this review, we summarize the classification and fundamental principles of chemical proteomics probes and provide an in-depth discussion of their diverse applications.

化学蛋白质组学探针:分类、应用和未来在蛋白质组学研究中的展望。
化学蛋白质组学探针是研究复杂生物系统中小分子-蛋白质相互作用的重要工具。传统上,它们分为共价探针和光亲和探针。它们有助于药物靶标发现、靶向配体筛选、疾病背景下酶活性的动态评估、蛋白质修饰定位以及与其他组学平台的桥接蛋白质组学。尽管它们具有重要的实用性,但在探针设计优化、减少非特异性相互作用和扩展可靶向蛋白质组学景观方面仍然存在挑战。未来的研究工作将集中在新型探针的开发、化学蛋白质组学与结构生物学和人工智能的结合以及临床应用的推进上。这些创新将加深我们对蛋白质功能的理解,并支持精准医学的进步。本文综述了化学蛋白质组学探针的分类和基本原理,并对其应用前景进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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