Prediction and Validation of Multi-Target Mechanisms of Scutellaria baicalensis in Treating Primary Dysmenorrhea Based on Network Pharmacology and Molecular Docking
刊名 Medicinal Plant
作者 Xinguo LIU, Shengqiang HE, Lei HUANG, Lu CHENG
作者单位 Department of Pharmacy, Wuhan No.1 Hospital
DOI 10.19601/j.cnki.issn2152-3924.2025.04.005
年份 2025
刊期 4
页码 20-23,28
关键词 Scutellaria baicalensis, Primary dysmenorrhea (PD), Network pharmacology, PTGS2, Molecular docking
摘要 [Objectives] To predict core targets and pathways of flavonoids from Scutellaria baicalensis against PD via network pharmacology. [Methods] Network pharmacology was employed to predict targets of six flavonoids (baicalein, baicalin, chrysin, wogonin, wogonoside, oroxylin A) from S. baicalensis. PD-related targets were screened from DrugBank, DisGeNET, GeneCards, and NCBI databases. Compound-target-disease networks and protein-protein interaction (PPI) networks were constructed. Functional enrichment analysis (GO/KEGG) was performed via Metascape. Molecular docking (Autodock Vina) validated ligand-target binding affinities. [Results] Intersection analysis identified 18 pivotal targets from 148 compound targets and 18 PD-associated targets. PPI network analysis revealed PTGS2, ESR1, TNF, and ABCB1 as core targets (degree >6). KEGG enrichment highlighted ovarian steroidogenesis (hsa04913) and ABC transporters. Molecular docking confirmed robust binding between flavonoids and PTGS2 (binding energy<-5 kcal/mol; baicalin: -13.2). [Conclusions] Flavonoids synergistically target PTGS2/ESR1-mediated prostaglandin synthesis and hormonal pathways.