Table 5 Five common pathways associated with candidate targets according to enrichment analysis based on KEGG.

From: Reveals of candidate active ingredients in Justicia and its anti-thrombotic action of mechanism based on network pharmacology approach and experimental validation

ID

Pathway

Log (P)

Gene IDs

hsa04151

PI3K-Akt signaling pathway

− 10.466

AKT1, GSK3B, IL2, IL6, KDR, MET, PRKCA, RAC1, SYK, TLR2, VEGFA

hsa05418

Fluid shear stress and atherosclerosis

− 11.468

AKT1, IL1B, KDR, MMP2, MMP9, RAC1, TNF, TNFRSF1A, VEGFA

hsa05163

Human cytomegalovirus infection

− 15.868

AKT1, GSK3B, IL1B, IL6, PRKCA, PTGER3, PTGER4, PTGS2, RAC1, CXCL12, TNF, TNFRSF1A, VEGFA, F2, IL2, MET, MMP2, MMP9, TERT, SYK, P4HB, TLR2, CBS, ABCG2

hsa04010

MAPK signaling pathway

− 9.852

AKT1, IL1B, PRKCA, RAC1, TNF, TNFRSF1A

hsa04060

Cytokine-cytokine receptor interaction

− 8.396

IL1B, IL2, IL6, KDR, MET, CXCL12, TNF, TNFRSF1A, VEGFA