Study on the mechanism of potential pharmacological action of Daphne Genkwa of anti-tumor based on data mining, network pharmacology and molecular docking

Abstract

Abstract In this study, we explored the potential targets and mechanisms of Daphne genkwa anti-tumor through data mining, network pharmacology, and molecular docking techniques. The protein-protein Interaction Network (PPI) and the "active component-target" network of anti-tumor target sites of Daphne Genkwa were constructed, then the core target and the active components were studied by molecular docking. A total of 7 active ingredients, 116 potential targets, 9775 tumor-related targets were obtained. Among them, 177 were the intersection targets of ingredients and diseases. The ingredients-targets visual network diagram showed 126 nodes and 216 edges. GO and KEGG enrichment analysis showed the molecular functions, cellular ingredients, biological processes and pathways of the anti-tumor targets of Daphne genkwa. The results of molecular docking showed that the active components of Daphne Genkwa bind well to the anti-tumor core protein. In conclusion, Daphne genkwa can exert anti-tumor effects through multiple channels and targets.