目的：阐明中药方剂的化学成分作用机理及其与治疗目标之间的关系，从多种成分中发现有效成分群性。方法：以中药方剂及其治疗的某一疾病为研究对象，以实体语法系统为理论框架，构建中药方剂有效成分群辨识的实体语法系统，推断其化学成分对疾病的作用，并以此确定治疗该疾病的有效成分群。结果：本文从治疗玉型糖尿病的方剂“白虎汤合消渴方”中识别出16 个作用于玉型糖尿病网络中12 个蛋白的化学成分，其中9 个化学成分对玉型糖尿病的治疗具有积极的作用，可作为有效成分群的候选对象。结论：本法能够用于辨识中药方剂的有效成分群，揭示中药方剂的分子作用机制，并为中药方剂的有效成分研究提供一条新途径。

This study was aimed to explain the relationship between chemical component and therapy objective and to identify effective component group (ECG). The objective of this study is to build a new method to identify the ECG. Traditional Chinese medicine (TCM) formula and one of its treated diseases were selected as the research object. The entity grammar systems (EGS) were used as the theoretical framework. A grammatical method for ECG identification was constructed. The component-disease relationship was inferred and the ECG was identified with these inference results. In this paper, 16 compounds which act to 12 proteins in Type 1 diabetes mellitus (T1D) disease network were identified from "Bai -Hu Tang plus Xiao -Ke Fang" and 9 chemical compounds were determined as the candidate effective components group. The results indicated that this method can be used to identify ECG and provide a new way to elucidate the molecular mechanism of TCM formula.

国家自然科学基金委面上项目（30973946）：基于三阴三阳系统的药性组合模式及其作用机理研究；国家自然科学基金委面上项目（81173568）：基于三阴三阳的经方药对语法系统及其作用机制研究，负责人：王耘；科学技术部国家科技支撑计划（2008BAI51B01）：中药有效成分群辨识技术研究，负责人：张宏桂；北京中医药大学科研创新团队支持项目（2011-CXTD-11）:中药信息工程研究，负责人：乔延江。