Predictive models are vital tools in anticipatory toxicology. They simulate the interactions between toxicants and biological systems to forecast potential effects. These models, such as Quantitative Structure-Activity Relationship (QSAR) models, use chemical structure data to predict the activity of unknown substances. Similarly, computational toxicology integrates computational methods with biological data to predict toxicity, enabling researchers to assess risks without relying solely on animal testing.
