2026-10-10T21:59:24Z https://www.scidb.cn/oai

10.57760/sciencedb.32912 2025-12-04T19:29:06Z

2025-12-04 Network pharmacological analysis of nobiletin in anti-breast cancer doi:10.57760/sciencedb.32912 en 1. Acquisition of the target of nobiletin: using "nobiletin" as the keyword, the targets were obtained in the SEA database (https://sea.bkslab.org/, set P<0.05, species as HUMAN) and the TargetNet database (http: / / targetnet.scbdd.com/, AUC 0.7 or higher installed, the fingerprint type ECFP4), Swiss Target Prediction database (http://www.swisstargetprediction.ch/, Set the Probability> 0 and the CTD database (https://ctdbase.org /) for retrieval. After merging and de-duplication of the obtained targets, the potential targets of nobiletin were finally obtained.2. Acquisition of breast cancer targets: With "breast cancer" as the key word, In Genecards database (https://www.genecards.org/) (the set Relevance Score > 10), OMIM database (https://omim.org/search/advanced/geneMap), providing database (https://db.idrblab.net/ttd/) and DisGeNet database (https://disg The search was conducted on enet.com/), the obtained targets were combined and duplicated, and finally the targets related to breast cancer disease were obtained3. The Venny2.1.0 platform (https://bioinfogp.cnb.csic.es/tools/venny/) will be potential targets for sichuan and dried tangerine or orange peel element targets related to breast cancer disease targets in intersection, intersection targets.4 The above-mentioned intersection targets were subjected to GO functional annotation and KEGG pathway enrichment analysis using R language. The significantly enriched items were screened out with P < 0.01 as the significance threshold. nobiletin; breast cancer; KEGG enrichment analysis ; GO enrichment analysis ge yin fang Qi Yuhang Li Tao Chen Zhaolin EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank