First, the SMILES ID of geniposide was obtained through the PubChem database, and imported into the Swisstargets and similarity ensemble approach (SEA) databases to obtain the corresponding compound targets. Second, the compound targets of the drugs were searched using the Pharmmapper, Traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and Herb databases. The targets obtained were corrected and deduplicated using the Universal Protein (UniProt) database. Then, “atherosclerosis” was used as the key word to search the human gene in GeneCards, NCBI, and DisGeNET databases. Targets obtained from the GeneCards database were filtered according to the median score to obtain more relevant targets. The selected drug targets and disease targets were input into Venny 2.1 diagram software, and common targets were obtained, which were used as the predicted targets of geniposide on AS for pathway enrichment analysis.
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