To quickly and inexpensively guide practitioners to decisions, new approach methodologies (NAMs) rely heavily on predictive tools to quantify risk. ScitoVation staff have a long history of pioneering or using these approaches.
Our capabilities include use of the following:
- Pre-assessment Tools
- Quantitative Structure-Activity Relationship (QSAR) models to estimate hazard properties, physical properties, biokinetic parameters
- Transcriptomics and Bioinformatics
- Benchmark Dose tools to estimate changes across affected pathways rather than at the individual gene level
- Tools for visualizing data from transcriptomic studies for interpreting biological responses to chemicals (MoAviz), such as dose-response, mode of action, and differences in responses across experimental factors
- Systems Biology and Network Modeling
- Dose response modeling for toxicity pathways
