Fig. 6: The mechanism of FZA on NSCLC was predicted by network pharmacology. | Communications Biology

Fig. 6: The mechanism of FZA on NSCLC was predicted by network pharmacology.

From: Alkaloids of Aconiti Lateralis Radix Praeparata inhibit growth of non-small cell lung cancer by regulating PI3K/Akt-mTOR signaling and glycolysis

Fig. 6: The mechanism of FZA on NSCLC was predicted by network pharmacology.

A Intersection analysis between FZA targets and the disease genes of NSCLC. B PPI network analysis. The PPI network has 90 nodes and 168 edges. C The drug-ingredient-target-disease network illustrated the interaction between ingredient of FZA and NSCLC-targeted genes. The blue square box indicated ingredient of FZA, while the orange circles indicated NSCLC target. D KEGG pathway analysis showed that FZA had an effect on the biological processes in treatment of NSCLC. E Gene ontology analysis on the involvement of major biological process and molecular function of common genes regulated by FZA on NSCLC.

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