Network Pharmacology Analysis and Experiments Validation of the Inhibitory Effect of JianPi Fu Recipe on Colorectal Cancer LoVo Cells Metastasis and Growth

Figure 1

Potential effect mechanism mining of JPFR basing on network pharmacology analysis. (a) Active compounds of JPFR were screened using the network pharmacology databases, including TCMSP, TCMID, and TCM-PTD. TCMSP and Drugbank database were used to screen the targets for each active compound in JPFR. The compound-target network was constructed by Cytoscape 3.7 software. The red octagon represents the traditional Chinese medicine compound, the purple circle represents the compound, the green diamond represents the target, and the black line represents the relationship between the compound active ingredients and the corresponding targets. (b) PPI (Protein-Protein Interaction) Network Diagram according to screening results from (a). The circles in the PPI network represent the interaction of different targets for JPFR, and the lines represent interactions with each other. (c-d) DAVID database was used to mine the effective cancer diseases and potential signaling pathways of JPFR. Fifty-five target genes were enriched in the GO function and KEGG signaling pathway analysis. (e) Systematical analysis of the potential regulatory mechanism of active ingredients basing on the active compound-target network of JPFR constructed before and the searched literatures.

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