Associate ProfessorSlade Matthews

Prediction of toxicity is an important part of assessment of drugs during development. The cost associated with detection of drug toxicity late in drug development is enormous so it has become important to developin silico models to detect toxic effects early. In silico toxicology frequently uses techniques similar to QSAR but can use combinations of a greater number of parameters for making toxicity predictions. Some in silico techniques use a theoretical basis and are not statistical in nature. Our projects aim to generate models of toxic effects using physicochemical data, experimental results gleaned from literature, genomic information and fundamental models of toxicological molecular initiating events.