Symptom-based traditional Chinese medicine slices relationship network and its network pharmacology study / 中国中药杂志

ABSTRACT

<p><b>OBJECTIVE</b>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.</p><p><b>METHOD</b>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.</p><p><b>RESULT</b>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.</p><p><b>CONCLUSION</b>Network pharmacology approaches can be applied in TCM research to discover and interpret the relationships between TCM slices and their properties.</p>