This study was designed to explore the mechanism of Yuanhu Zhitong Dropping Pills(YHZT) in the treatment of primary dysmenorrhea by pharmacological network technology and establish a research approach of "Compound-Target-Pathway-Disease" network. Twenty-eight compounds absorbed into blood including 22 prototype and 6 metabolites of YHZT were submitted to Pharm Mapper and Kyoto Encyclopedia of Genes and Genomes(KEGG) bioinformatics softwares to predict the target proteins and related pathways respectively. The network of "Compound-Target-Pathway-Disease" was constructed and analyzed using Cytoscape software. The in silico prediction results showed that the 28 constituents of YHZT affected 111 pathways through 109 target proteins. Among them, a total of 52 proteins and 31 pathways were related to the primary dysmenorrhea. The effect of YHZT on primary dysmenorrhea may be dependent on regulation of the proteins and pathways related with hormonal regulation, central analgesia, spasmolysis, inflammation and immunoregulation.
Computational Biology Databases, Pharmaceutical