Abstract: Objective:Phloridzin was employed as the research object, and the hypoglycemic effect on molecular level was analyzed. Methods:Phloridzin was chosen in this study to obtain the targets of the components and protein-protein information though Stitch and ChEMBL databases retrieval. Module analysis and function annotation of network were analyzed by a graph theoretic clustering algorithm molecular complex detection (MCODE). Results:21 targets were screened from database. There were 170 nodes and 545 deges in the protein interaction network. 10 function modules were obtained from cluster analysis. Hypoglycemic effect of phloridzin was mainly associated with histone acetylation, glucose homeostasis, acetylcholine catabolic process, pentose catabolic process, purine nucleoside transport, anion transport, calcium ion homeostasis. Conclusion:In this study, the anti-diabetes mechanism of phloridzin was elucidated systematically from molecular network level, which provided new approaches for the treatment of diabetes.