CYP3A4 and breast carcinoma: In this regard initially, we predicted the targets using three open-source platforms i.e. SwissTargetPrediction, DIGEP-Pred, and BindingDB; matched with estrogen receptor-positive breast cancer targets (UMLS CUI: C2938924); retrieved from DisGeNET in which diosgenin was predicted to target 21 different proteins i.e. APP, CDK4, CRHR1, CYP17A1, CYP19A1, CYP3A4, FASN, FGFR2, GRM1, IGF1R, LYN, MDM2, MDM4, PDGFRB, PRCP, PTPN1, RET, and SRC, (predicted in SwissTargetPrediction) AR and NR3C1 (predicted in DIGEP-Pred), and STAT3 (predicted in SwissTargetPrediction and BindingDB) in the breast cancer.