Computational toxicology leverages computer-based models and simulations to predict the toxicity of chemicals, reducing the reliance on animal testing. Techniques such as quantitative structure-activity relationship (QSAR) modeling allow researchers to predict the toxicological profile of new compounds based on their chemical structure. This approach not only speeds up the drug development process but also helps in identifying potentially hazardous chemicals before they are released into the market.
