目的：采用网络药理学方法研究活血化瘀中药，探索其治疗冠心病有别于西药的独特作用机理。方法：选择活血化瘀中药丹参、红花、川芎、灯盏花、桃仁、三七、赤芍为研究对象，依据TCMD2009数据库得到其对应的322个化学成分，进而在STITCH 数据库中搜集得到与化学成分对应的218个靶标；选取治疗冠心病的临床常用西药的作用靶标；通过文献查找与冠心病密切相关的靶标；利用Reactome数据库找到靶标所在的通路；采用Cytoscape 软件分别构建出活血化瘀中药作用网络、西药作用网络及冠心病疾病网络模型。结果：网络拓扑结果分析表明，所建立3个网络模型是服从幂律分布的无标度网络，无标度特性值按冠心病、西药和中药分别为γ1=1.741，γ2=1.719，γ3=1.808，网络模型具有稳定性和鲁棒性。3个网络对比计算筛选得到中药与西药治疗冠心病相同的作用节点138 个，中药独特作用节点397个。结论：中药治疗冠心病确存在有别于西药治疗的独特作用途径，有待深入分析和挖掘。

This study was aimed to explore the unique mechanism of blood-activating and stasis-dissolving herbs on coronary heart disease (CHD) in molecular level by network pharmacology. Based on mature databases and literature mining, targets and pathways which respond to blood -activating and stasis-dissolving herbs, western medicine and CHD were collected. Through data mining, a blood-activating and stasis-dissolving herbs action network, a medicine action network and a CHD disease network were constructed. Network topological characteristic parameters of CHD were investigated. The results illustrate scale-free and small world features in three networks, with scale-free values of γ1 =1.741, γ2 =1.719, γ3 =1.808. Therefore, these three networks are robust and stable. The reliability of disease network and medicine indirect mechanism was analyzed by calculating the intersection of three networks. There are 138 nodes where the medicine action network and the herbs action network in common, and 397 nodes which are unique in herb network. It was concluded that blood-activating and stasis-dissolving herbs on CHD treatment have their own unique mechanism. And further analysis and mining are required.

科学技术部国家支撑计划资助项目（2008BAI51B01）：中药有效成分群辨识技术研究，负责人：张宏桂；国家自然基金项目（81173522）：点线面三维模拟活血化瘀中药防治冠心病的作用机制研究，负责人：张燕玲；北京中医药大学自主课题（2011-CXTD-11）：中药信息工程，负责人：乔延江；北京中医药大学自主课题（2011-JDJS-12）：活血化瘀中药治疗冠心病的作用机制研究，负责人：张燕玲。