白钢, 侯媛媛, 姜民, 高洁, 张曼, 刘文娟. 基于化学生物学的中药药性-药效关联机制研究策略J. 药学学报, 2026, 61(1): 11-20. DOI: 10.16438/j.0513-4870.2025-0520
引用本文: 白钢, 侯媛媛, 姜民, 高洁, 张曼, 刘文娟. 基于化学生物学的中药药性-药效关联机制研究策略J. 药学学报, 2026, 61(1): 11-20. DOI: 10.16438/j.0513-4870.2025-0520
BAI Gang, HOU Yuan-yuan, JIANG Min, GAO Jie, ZHANG Man, LIU Wen-juan. Research strategies on the correlation mechanism between the properties and effects of traditional Chinese medicine based on chemical biologyJ. Acta Pharmaceutica Sinica, 2026, 61(1): 11-20. DOI: 10.16438/j.0513-4870.2025-0520
Citation: BAI Gang, HOU Yuan-yuan, JIANG Min, GAO Jie, ZHANG Man, LIU Wen-juan. Research strategies on the correlation mechanism between the properties and effects of traditional Chinese medicine based on chemical biologyJ. Acta Pharmaceutica Sinica, 2026, 61(1): 11-20. DOI: 10.16438/j.0513-4870.2025-0520

基于化学生物学的中药药性-药效关联机制研究策略

Research strategies on the correlation mechanism between the properties and effects of traditional Chinese medicine based on chemical biology

  • 摘要: 中医理论以整体观为核心, 药性与药效分别从不同层面阐释了中药的作用规律。然而, 传统药性理论与现代药效研究存在割裂, 亟需通过多学科手段揭示其科学关联。本文综述了基于系统生物学方法解析药性关联核心网络模块, 采用化学生物学技术诠释药效成分与靶点互作机制的案例, 并提出基于临床特色优势, 通过系统论与还原论相结合的“中药性效化学生物学”研究范式, 借助分子探针示踪鉴定、多组学分析及网络预测, 动态揭示药性调控网络, 突破单一靶点、药效研究局限, 构建“整体-局部”互证框架。这种双重方法论为解决医学难题提供了重要的切入点, 有助于实现从现象到本质、从模糊到精准的跨越, 并为诠释药性与药效的本质提供了可资借鉴的研究路径。同时通过完善药性理论评价体系, 构建“性-效-物”关联体系, 突破中药质量控制瓶颈, 凸显化学生物学在中药创新研究中的核心价值。

     

    Abstract: The theory of traditional Chinese medicine (TCM) is fundamentally grounded in a holistic perspective, wherein the properties and effects of crude drugs illustrate its action mechanisms at different levels. However, a notable discrepancy persists between the traditional theory of drug properties and modern research on drug efficacy, highlighting the need for interdisciplinary approaches to elucidate their scientific connections. This article reviews research approaches and case studies that utilize systems biology methods to analyze the core network and key modules of drug properties, as well as employ chemical biology techniques to elucidate the interaction mechanisms between active components and their targets. Herein, a chemobiological research paradigm integrating systems theory with reductionism was proposed, leveraging the unique advantages of TCM and its properties and effects. By integrating molecular probe tracing and identification, multi-omics analysis, network prediction, and dynamic regulatory network interpretation of drug properties, this approach overcomes the limitations of single-target or efficacy research and establishes a framework for mutual validation between "the whole" and "the part". The dual methodology serves as a critical entry point for tackling medical challenges, facilitating a transition from observing phenomena to uncovering essence and from dealing with ambiguity to achieving precision. This approach effectively illuminates the fundamental nature of the medicinal properties and pharmacodynamic effects. Simultaneously, by refining the evaluation system for TCM property theories and constructing a "properties-effects-compositions" correlation framework, the bottleneck in quality control of TCM can be effectively addressed, thereby highlighting the critical role of chemical biology in driving innovative research in TCM.

     

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