{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T05:16:36Z","timestamp":1779340596854,"version":"3.51.4"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Cytochrome P450 (CYPs) are the major enzymes involved in drug metabolism and bioactivation. Inhibition models were constructed for five of the most popular enzymes from the CYP superfamily in human liver. The five enzymes chosen for this study, namely CYP1A2, CYP2D6, CYP2C19, CYP2C9 and CYP3A4, account for 90% of the xenobiotic and drug metabolism in human body. CYP enzymes can be inhibited or induced by various drugs or chemical compounds. In this work, a rule-based CYP inhibition prediction online server, CypRules, was created based on predictive models generated by the rule-based C5.0 algorithm. CypRules can predict and provide structural rulesets for CYP inhibition for each compound uploaded to the server. Capable of fast execution performance, it can be used for virtual high-throughput screening (VHTS) of a large set of testing compounds.<\/jats:p>\n               <jats:p>Availability and implementation: \u00a0CypRules is freely accessible at http:\/\/cyprules.cmdm.tw\/ and models, descriptor and program files for all compounds are publically available at http:\/\/cyprules.cmdm.tw\/sources\/sources.rar .<\/jats:p>\n               <jats:p>Contact: \u00a0yjtseng@csie.ntu.edu.tw<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv043","type":"journal-article","created":{"date-parts":[[2015,1,24]],"date-time":"2015-01-24T04:27:59Z","timestamp":1422073679000},"page":"1869-1871","source":"Crossref","is-referenced-by-count":42,"title":["CypRules: a rule-based P450 inhibition prediction server"],"prefix":"10.1093","volume":"31","author":[{"given":"Chi-Yu","family":"Shao","sequence":"first","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo-Han","family":"Su","sequence":"additional","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Shu","family":"Tu","sequence":"additional","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chieh","family":"Lin","sequence":"additional","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivia A.","family":"Lin","sequence":"additional","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufeng J.","family":"Tseng","sequence":"additional","affiliation":[{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"},{"name":"1 Graduate Institute of Biomedical Electronics and Bioinformatics and 2 Department of Computer Science and Information Engineering, National Taiwan University, No.1 Sec.4, Roosevelt Road, Taipei, Taiwan 106"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2015,1,22]]},"reference":[{"key":"2023051505240396100_btv043-B1","first-page":"39","article-title":"Applying support vector machines to imbalanced datasets","volume-title":"Proceedings of the 15th European Conference on Machine Learning","author":"Akbani","year":"2004"},{"key":"2023051505240396100_btv043-B2","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1021\/ci200028n","article-title":"Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers","volume":"51","author":"Cheng","year":"2011","journal-title":"J. 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