OBJECTIVE： To explore the multi-component， multi-target， multi-channel mechanism of Tibetan medicine Pterocephalus hookeri in the treatment of rheumatoid arthritis （RA）. METHODS： The selected target compounds （10 chemical structures of P. hookeri） were imported and stored by related software； target prediction and filtering were conducted by PharmMapper and DrugBank databases. The pathways of targets were acquired and analyzed by MAS 3.0 database. Finally P. hookeri “active component-targeting-pathway” network was constructed by Cytoscape 3.4.0 software. RESULTS： The target information obtained in the PharmMapper database were compared with that of the DrugBank database for inflammation-related drugs， 26 potential targets for the treatment of RA were obtained， in which MAPK14， RXRA， ALB， PDE4D， VDR may be the main potential target gene group in the treatment of RA. 57 functional pathways were obtained after 26 functional targets were annotated by pathway. In addition to 27 RA-related pathways， 30 other pathways such as endocrine regulation and immune were involved. CONCLUSIONS： Base on the study of network pharmacology， P. hookeri plays the role in the treatment of RA by acting on inflammation， immune， endocrine and related targets and pathways.