Computational Models for Prediction of Ligand-Transporter Interaction
Manually curated data for high quality training sets
Cutting edge machine learning algorithms accounting for imbalanced training sets
Traffic light system for results including visualisation of applicability domain assessment
Our model portfolio is constantly updated and expanded. Currently it includes prediction of inhibitors of P-glycoprotein, BSEP, and BCRP, and substrates of P-glycoprotein, BSEP, and BCRP.
More transporter to come soon!
For a free web-service of our models, please visit livertox.univie.ac.at.