OBJECTIVE: To probe into the molecular mechanism of anti-inflammatory effects of Ruyi Jinhuang powder based on network pharmacology and data mining. METHODS: The inflammatory targets were obtained from GeneCards database

the active components and relative targets of Ruyi Jinhuang powder were obtained from BATMAN-TCM database. After the intersection of disease target and drug target

the regulation network and protein-protein interaction（PPI） network were constructed. R software was used for gene ontology（GO） functional enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis

AutoDock Vina was used for molecular docking to verify the reliability of the results. RESULTS: A total of 217 active components and 159 intersection genes of inflammation-Ruyi Jinhuang powder were obtained after screening. Totally 2 051 GO items and 149 signal pathways were obtained through GO and KEGG enrichment analysis. Ruyi Jinhuang powder might act on insulin

protein kinase B1

albumin

mitogen-activated protein kinase 1 and tumor necrosis factor（TNF） through a variety of ketone active components such as carvone

progesterone and curcumin

which were involved in the atherosclerosis signaling pathway

neuroactive ligand-receptor interaction signaling pathway

estrogen signaling pathway and TNF signaling pathway

thereby exerting anti-inflammatory effects. The molecular docking results showed that the results of the network pharmacology study had certain reliability. CONCLUSIONS: This study preliminarily reveals the molecular mechanism of anti-inflammatory effects of Ruyi Jinhuang powder

and provides a new theoretical basis for further basic and clinical research