蛋白质组学
计算生物学
药物发现
转录组
药物靶点
药品
计算机科学
钥匙(锁)
系统生物学
生物
生物信息学
药物开发
蛋白质组
翻译后修饰
机制(生物学)
抗药性
药物反应
作者
Yuzhi Sun,Renjie Liu,Jichong Mu,Liyuan Zhang,Yue Wang
摘要
Drug discovery requires precise mechanistic insights, hindered by traditional bulk omics masking cellular heterogeneity. Single-cell proteomics (SCP) overcomes this by directly quantifying proteins-the cell's functional executors-enabling high-resolution analysis of drug action. This review details how SCP shifts research from the transcriptome to the proteome, covering key methods like high-sensitivity mass spectrometry and data-independent acquisition that now quantify thousands of proteins per cell. We highlight SCP's unique advantages in directly capturing drug targets, modifications, and pathway activity. Translational applications demonstrate its potential in target discovery, elucidation of resistance mechanisms and precision therapy. Finally, the integration of AI with SCP is poised to usher in a new era of protein-centred, high-resolution drug discovery.
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