Predictive Toxicology
At a glance: Using computational models and existing data to predict a chemical’s toxicity.
Predictive toxicology is the umbrella for computational, structure-based approaches to anticipating toxicity. Its most prevalent tool is QSAR modeling, arguably the most prevalent method for predicting in silico whether a chemical will cause a toxic response. 5 It overlaps closely with Read-Across as a data-gap-filling strategy.