Computational methods in toxicology primarily focus on predicting the toxicological properties of substances. These methods help in reducing the dependency on animal testing by providing alternative in silico models. Through QSAR models, researchers can predict the effects of chemical structures on biological activity, thus assessing potential toxicity. Moreover, molecular docking techniques allow scientists to study interactions between chemicals and target proteins, offering insights into potential adverse effects.
