To explore the mechanism of compound Biejia Ruangan tablets (FFBJ) in the treatment of hepatic fibrosis.

Based on the techniques and methods of network pharmacology, the ADME/T calculation method was used to screen the active ingredients of FFBJ, and PharmMapper database was combined to forecast and screen the targets of the main active ingredients. The related targets of hepatic fibrosis were searched from OMIM database. The mapping analysis between the targets of FFBJ and the related targets of liver fibrosis was carried out. Cytoscape 3.7.0 software was used to construct the active ingredient-disease target network of FFBJ; and the potential target of FFBJ for hepatic fibrosis was analyzed by gene ontology (GO) and genomic encyclopedia (KEGG) pathway enrichment.

A total of 18 effective active ingredients of FFBJ were obtained, which could act on hepatic fibrosis through 20 potential targets. GO functional enrichment analysis obtained 92 GO items, and KEGG pathway enrichment analysis obtained 128 pathways.

Bioactive components of FFBJ play an anti-hepatic fibrosis role mainly through PI3K-Akt, MAPK, and TGF-β₁ signal pathways, embodying the characteristics of multiple components, targets, and pathways of traditional Chinese medicine. This study provides a theoretical basis for further research on the mechanism of FFBJ against liver fibrosis.

Compound Biejia Ruangan tablets; Hepatic fibrosis; Network pharmacology; Mechanism