中药有效成分族群辨识研究是在中医理论指导下，以临床疗效为指引，在充分整合中医药学、生物学、化学和信息学等多学科的理论方法、技术和研究成果的基础上，高效、快速地发现活性较强的单一有效成分，揭示中药多组分及多靶点的作用机理和整体疗效。现阶段的中药有效成分族群辨识技术主要包括了亲和色谱层析技术、生物芯片技术和信息技术等。本文对该技术的研究背景和常用技术进行了综述，并展望了下一步的研究方向。

This study was aimed to reveal the multi-component and multi-target mechanism of traditional Chinese medicine (TCM). The Identification Technology of Active Clusters of TCM (ITAC-TCM) was proposed with the integration of theory, technology and result of biology, chemistry, informatics and other modern science. Under the guidance of the TCM theory and clinical effect, ITAC-TCM can efficiently and quickly identify active compounds that can act on the same targets. This paper reviewed the study background and common technologies which include affinity chromatography, biochip technology and informatics. The succeeding research is also prospected.

科学技术部国家科技支撑计划（2008BAI51B01）：中药有效成分群辨识研究，负责人：张宏桂；教育部高等学校博士学科点专项科研基金项目（20092213120006）：基于花生四烯酸代谢途径的清热解毒中药有效成分信息辨识研究，负责人：张燕玲。