Objective To explore the molecular mechanism of apigenin against prostate cancer through bioinformatics combined with network pharmacology including molecular docking.Methods To predicted apigenin drug targets were by ETCM,HERB,HIT 2.0 and SwissTargetPrediction databases.Differential genes in TCGA and GEO data sets were calculated as prostate cancer prediction targets,and supplemented by GeneCards and OMIM databases.STRING database and Cytoscape software were used to construct the target protein interaction network and screen the core targets.Metascape platform was used for target enrichment analysis.Softwares such as PyMOL,AutoDock Tools,AutoDock Vina and PDB database were used for molecular docking.Results A total of 236 apigenin against prostate cancer targets were predicted,mainly related to response to hormone,positive regulation of cell death and regulation of kinase activity,and the KEGG enrichment pathways were closely related to prostate cancer.Among the 236 targets,70 key targets were identified by molecular docking.Bcl-2,JUN,HIF-1A,TNF,ERG,and ESRRA had a good binding ability with apigenin.Conclusion Apigenin exerts anti-prostate cancer effect through multi-target and multi-pathway mechanisms.
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