The importance of computational models in toxicology lies in their ability to rapidly screen vast numbers of compounds, prioritize testing, and reduce the reliance on animal testing. These models play a crucial role in regulatory toxicology, drug development, and environmental health by providing insights into mechanisms of toxicity, dose-response relationships, and potential human health risks.
