Network pharmacology models are still the bottleneck of modern drug discovery, especially target identification ( ). Network pharmacology is to study the mechanism of a drug candidate at a metabolic level ( ). It needs network analysis, bioinformatics, and integration of multiple knowledge sources ( ). Several databases are employed in network-based methods, including Gene Ontology (GO) ( ) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) ( ). The databases have information about a drug-target-pathway network, which is essential for network pharmacology. For example, Yamanishi et al. extracted data from KEGG BRITE, BRENDA, SuperTarget, and DrugBank databases ( ).