CYPlebrity: Machine learning models for the prediction of inhibitors of cytochrome P450 enzymes

Wojciech Plonka, Conrad Stork, Martin Šícho, Johannes Kirchmair (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Original languageEnglish
Article number116388
Number of pages11
JournalBioorganic & Medicinal Chemistry
Volume46
Early online date28 Aug 2021
DOIs
Publication statusPublished - 15 Sept 2021

Funding

Funding Information C.S. and J.K. are supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -project number KI 2085/1-1. M. S?. is supported by the Ministry of Education, Youth and Sports of the Czech Republic-project number LM2018130.

Austrian Fields of Science 2012

  • 106005 Bioinformatics
  • 301207 Pharmaceutical chemistry

Keywords

  • CLASSIFICATION
  • COMPUTATIONAL PREDICTION
  • Cytochrome P450 inhibition
  • DRUGS
  • Drug metabolism
  • IN-SILICO PREDICTION
  • METABOLISM
  • Machine learning
  • Metabolism prediction

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