2.3. Network Construction of Compound-Target-Pathway in SCL for PID Treatment

Systems pharmacology was applied to analyze the interaction between SCL and PID and the selection of critical targets. To identify the intersection of targets between PID and SCL, the title of “pelvic inflammatory disease” was placed in GeneCards (https://www.genecards.org/) [40], DisGeNET (https://www.disgenet.org/) [41], DrugBank (https://www.drugbank.ca/) [42], and existing research [43,44] to obtain gene names of PID targets, which manually confirmed that each target had a clinical study in PID. Additionally, the intersection genes (compound- and disease-related targets) were used to perform annotation analysis of the obtained crossover genes by using Gene Ontology (GO) and the KEGG pathway analysis functions in the STRING platform (https://string-db.org/) [45], with the intersection genes directly mapped to the pathway. Cytoscape [46] was used to visualize a network of “Compound-target-pathway (C-T-P network)”. In this network, each compound, target, and pathway was indicated by nodes, and the interactions between each node were described by edges. The network was established to project an overview of the interactions among compounds, targets, and pathways.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.