School of Information Management, Shandong University of Traditional Chinese Medicine, Jinan, China.
Chin J Integr Med. 2013 Sep;19(9):663-7. doi: 10.1007/s11655-013-1562-z. Epub 2013 Aug 24.
To explore appropriate methods for the research of the theory of Chinese medicine nature property and find the relationship between Nature-Family-Component of Chinese herbs.
From perspective of systems biology, we used Associate Network to identify useful relationships among "Nature-Family-Component" of Herbs. In this work, Associate Network combines association rules mining method and network construction method to evaluate the complicate relationship among "Nature-Family-Component" of herbs screened.
The results of association rules mining showed that the families had a close relationship with nature properties of herbs. For example, the families of Magnoliaceae, Araceae had a close relationship with hot nature with confidence of 100%, the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90.91%. Moreover, the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition, some herbs belonging to different families may also have same natures when they contain the same main components.
These results implied that the main components of herbs might affect their natures; the relationships between families and natures were based on the main compounds of herbs.
探索中药药性理论研究的适宜方法，寻找中药“四气-五味-归经”之间的关系。
从系统生物学的角度出发，运用关联网络来识别草药“四气-五味-归经”之间的有用关系。在这项工作中，关联网络将关联规则挖掘方法和网络构建方法相结合，对筛选出的草药“四气-五味-归经”之间的复杂关系进行评估。
关联规则挖掘的结果表明，科与药性之间具有密切的关系。例如，木兰科、天南星科与热性具有密切关系，置信度为 100%；葫芦科与寒性具有密切关系，置信度为 90.91%。此外，关联网络的构建结果表明，属于同一科的草药通常具有相同的药性。此外，当一些草药含有相同的主要成分时，即使它们属于不同的科，也可能具有相同的药性。
这些结果表明，草药的主要成分可能影响其药性；科与药性之间的关系基于草药的主要化合物。
