Evaluating Confidence in Toxicity Assessments Based on Experimental Data and Predictions.

Understanding the reliability and relevance of a toxicological assessment is important for gauging the overall confidence and communicating the degree of uncertainty related to it. The process involved in assessing reliability and relevance is well defined for experimental data. Similar criteria need to be established for predictions, as they become increasingly more important to fill data gaps and need to be reasonably integrated as additional lines of evidence.

In silico toxicology protocols.

The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions.