[Symptom-based traditional Chinese medicine slices relationship network and its network pharmacology study].
OBJECTIVE
To discover and interpret the correlations between traditional Chinese medicine (TCM) slices and their properties such as function, symptom and channel tropism by constructing the relationship network using network pharmacology approaches.


METHODS
TCM slices related information was extracted from Chinese Pharmacopeia (2010 edition, volume I) by text mining, and was used to construct the TCM slices-symptom relationship network. The corresponding network analysis was also performed.


RESULTS
Three thousands and sixteen pair of TCM slice-symptom correlation associated with 646 TCM slices was discovered, and the constructed network unfolded the complex relationships between TCM slices. Further network analysis results indicated that the un-annotated function and channel tropism of TCM slice can be revealed by proposed symptom-based network.


CONCLUSIONS
Network pharmacology approaches can be applied in TCM research to discover and interpret the relationships between TCM slices and their properties.
Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China.
Leihong
L
Wu
Xiumei
X
Gao
Yiyu
Y
Cheng
Yi
Y
Wang
Boli
B
Zhang
Xiaohui
X
Fan
D000818:Animals; D004347:Drug Interactions; D004358:Drug Therapy; D004365:Drugs, Chinese Herbal / Q000032:analysis / Q000494:pharmacology*; D006801:Humans; D008516:Medicine, Chinese Traditional
D004365:Drugs, Chinese Herbal