In silico models are becoming increasingly important to support decision-making within toxicology by predicting potential hazards, informing mechanisms, guiding what in vitro testing may be required and informing grouping of chemicals to support read-across. This module describes the processes and data used to develop (quantitative) structure-activity relationship models and read-across, how to assess applicability domain and uncertainty, and how to document the processes.
Presented by AFSA Collaboration members:
Ann Detroyer, L’Oréal
Wendy Simpson, Unilever
