![]() ![]() A total of 34 key targets including PIK3CA, SRC, and TP53 were identified through PPI network analysis. Six potential active compounds, 285 interacting targets in addition to 1356 disease-related targets were collected, of which 118 intersection targets were obtained. The PPI and compound-target-disease networks were constructed using Cytoscape 3.8.1. Finally, Discovery studio software was employed to confirm the key genes and active components from ginger. KEGG pathway and GO enrichment analysis were performed to explore the signaling pathways related to ginger for colon cancer treatments. After that, the targets interacting with colon cancer were collected using Genecards, OMIM, and Drugbank databases. ![]() The putative ingredients of ginger and its related targets were discerned from the TCMSP and Swiss target prediction database. This study was aimed to identify the bioactive components and potential mechanisms of ginger for colon cancer prevention by an integrated network pharmacology approach. Colon cancer is occurring at an increasing rate and ginger ( Zingiber officinale), as a commonly used herbal medicine, has been suggested as a potential agent for colon cancer. ![]()
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