• Data modelling based on advanced AI algorithms.
  • Prediction of structural alerts by quantitative structure-activity relationship models (QSAR).
  • Prediction of toxicity/pharmacological properties and grouping of compounds based on read-across analysis.
  • Prioritisation/grouping of chemicals and definition of libraries of chemical test items by virtual screening
  • Definition of model intrinsic applicability domain by virtual screening.