In silico models use computational tools to predict the toxicological profile of substances. These models can analyze large datasets quickly, providing insights into potential toxic effects without the need for physical testing. They are particularly useful for screening large chemical libraries and identifying compounds of concern. However, the quality of in silico predictions relies heavily on the availability and accuracy of existing data, and they often require validation with empirical results.
