The Cancer Drug Fraction of Metabolism Database

Liyan Hua, Chien Wei Chiang, Wang Cong, Jin Li, Xueying Wang, Lijun Cheng, Weixing Feng, Sara K. Quinney, Lei Wang, Lang Li

Research output: Contribution to journalArticle

1 Scopus citations


This study aims to create a database for quantifying the fraction of metabolism of cytochrome P450 isozymes for cancer drugs approved by the US Food and Drug Administration. A reproducible data collection protocol was developed to extract essential information, including both substrate-depletion and metabolite-formation data from publicly available in vitro selective cytochrome P450 enzyme inhibition studies. We estimated the fraction of metabolism from the curated data. To demonstrate the utility of this database, we conducted an in vitro drug interaction prediction for the 42 cancer drugs. In the drug–drug interaction prediction, we identified 31 drug pairs with at least one cancer drug in each pair that had predicted area under concentration ratios > 2. We further found clinical drug interaction pieces of evidence in the literature to support 20 of these 31 drug–drug interaction pairs.

Original languageEnglish (US)
Pages (from-to)511-519
Number of pages9
JournalCPT: Pharmacometrics and Systems Pharmacology
Issue number7
StatePublished - Jul 2019

ASJC Scopus subject areas

  • Modeling and Simulation
  • Pharmacology (medical)

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    Hua, L., Chiang, C. W., Cong, W., Li, J., Wang, X., Cheng, L., Feng, W., Quinney, S. K., Wang, L., & Li, L. (2019). The Cancer Drug Fraction of Metabolism Database. CPT: Pharmacometrics and Systems Pharmacology, 8(7), 511-519.