Abstract: This study was designed to explore the antidepressant mechanism of Bupleuri radix through establishing the active components-targets network and protein interactions network and analyzing the functions and pathways of targets. The main active ingredients of Bupleuri radix were obtained by TCMSP, literature study and the results of our own work. Based on the DRAR-CPI, GeneCards and OMIM were used to predict and screen the active components of Bupleuri radix. The Cytoscape software was used to construct the active components-targets network of Bupleuri radix. The protein interactions network was constructed using the String database and Cytoscape software. The relation of the main active ingredients and targets were validated by Systems Dock Web Site. The GO and KEGG pathways involved in the targets were analyzed by DAVID. Using DisGeNET database to attribute the type of targets. The results showed that 15 active components and 50 targets of Bupleuri radix were involved. The network results showed that the process of metabolism, regulation and response to stress were mainly involved, by adjusting the PI3K-AKT, MAPK, Rap1, Ras, FoxO, neurotrophin and other signaling pathways to play its antidepressant effect. This study reflects the characteristics of multicomponents-multi-targets and multi-pathways of Bupleuri radix, which provides new ideas and clues for further research on the mechanism of anti-depressive effects of Bupleuri radix.