中国结合医学杂志（英文版）Chinese Journal of Integrative Medicine

Author Name	Affiliation	E-mail
FU Xian-jun, QU Yi, WANG Peng
WANG Zhen-guo	School of Information Management, Shandong University of Traditional Chinese Medicine, Jinan (250355), China	zhenguow@126.com

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Abstract:

Objective: To explore appropriate methods for the research of the theory of Chinese medicine nature property and ?nd the relationship between Nature-Family-Component of Chinese herbs. Methods: 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. Results: 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 con?dence of 100%, the families of Cucurbitaceae has a close relationship to cold nature with con?dence 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. Conclusion: 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.