Target Discovery Driven by Chemical Biology and Computational Biology

被引:1
|
作者
Lyu, Bohai [1 ,2 ]
Gou, Wenfeng [1 ]
Xu, Feifei [1 ]
Chen, Leyuan [1 ]
Wang, Zhiyun [1 ]
Ren, Zhonghao [1 ,3 ]
Liu, Gaiting [1 ,2 ]
Li, Yiliang [1 ]
Hou, Wenbin [1 ]
机构
[1] Peking Union Med Coll & Chinese Acad Med Sci, Inst Radiat Med, Tianjin 300192, Peoples R China
[2] Tianjin Univ Tradit Chinese Med, Tianjin 301617, Peoples R China
[3] Shenyang Pharmaceut Univ, Dept Pharmacol, 103 Wenhua Rd, Shenyang 110016, Peoples R China
来源
CHEMICAL RECORD | 2025年 / 25卷 / 03期
基金
中国国家自然科学基金;
关键词
Chemical biology; Proteomics; Probes; Mass spectrometry; Computational biology; DATA-INDEPENDENT ACQUISITION; CORRELATION SPECTROSCOPY; COVALENT INHIBITOR; PROTEIN TARGETS; NANO-LC; DRUG; IDENTIFICATION; PROTEOMICS; QUANTIFICATION; CELLS;
D O I
10.1002/tcr.202400182
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Target identification is crucial for drug screening and development because it can reveal the mechanism of drug action and ensure the reliability and accuracy of the results. Chemical biology, an interdisciplinary field combining chemistry and biology, can assist in this process by studying the interactions between active molecular compounds and proteins and their physiological effects. It can also help predict potential drug targets or candidates, develop new biomarker assays and diagnostic reagents, and evaluate the selectivity and range of active compounds to reduce the risk of off-target effects. Chemical biology can achieve these goals using techniques such as changing protein thermal stability, enzyme sensitivity, and molecular structure and applying probes, isotope labeling and mass spectrometry. Concurrently, computational biology employs a diverse array of computational models to predict drug targets. This approach also offers innovative avenues for repurposing existing drugs. In this paper, we review the reported chemical biology and computational biology techniques for identifying different types of targets that can provide valuable insights for drug target discovery.
引用
收藏
页数:26
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