Abstract: To predict the action targets of liquiritin in treating depression and diabetes to understand the “componenttargetpathways” using the network pharmacology method.The major targets of liquiritin were obtained by PharmMapper,SEA,SIB databases.The GeneCards and DrugBank were used to predict the related targets of depression and diabetes.Compared these targets with major targets of liquiritin to predict the potential targets of depression and diabetes.The network of “componenttargetdisease” was constructed and analyzed by using Cytoscape 3.6.0 software.The same target proteins related to depression and diabetes were analyzed by using Gene Ontology (GO) tool,and the action pathway of its target proteins was analyzed by using enrichment method.The BITOLA system was used to search all intermediate concepts relevant to the “gene or gene product” for depression and diabetes to filter the intermediate concepts.The network analysis results showed that 312 targets were involved in liquiritin and 23 potential targets were related to depression and diabetes mellitus,such as ESR1,HRAS,VEGFA,NOS3,PARP1,IGF1R,et al.The signaling pathway enrichment results showed that the main action proteins exerted its antidepressant and hypoglycemic function by regulating the PI3KAKT,cancer,Ras and other signaling pathways.

Key words: liquiritin, network pharmacology, depression, diabetes, mechanism