Vienna LiverTox Workspace-A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory Agencies
- Author(s)
- Floriane Montanari, Bernhard Knasmüller, Stefan Kohlbacher, Christoph Hillisch, Christine Baierová, Melanie Grandits, Gerhard F Ecker
- Organisation(s)
- Research Group Workflow Systems and Technology
- Journal
- Frontiers in Chemistry
- Volume
- 7
- No. of pages
- 8
- ISSN
- 2296-2646
- DOI
- https://doi.org/10.3389/fchem.2019.00899
- Publication date
- 01-2020
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 301207 Pharmaceutical chemistry
- Keywords
- ASJC Scopus subject areas
- Chemistry(all)
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/vienna-livertox-workspacea-set-of-machine-learning-models-for-prediction-of-interactions-profiles-of-small-molecules-with-transporters-relevant-for-regulatory-agencies(fb6f0da1-a9ab-4883-a818-601238800c27).html