Chemical Toxicity Prediction: Category Formation and Read-Across (Issues in Toxicology #17) (Hardcover)
1. Discusses predicting the toxicity of a compound based on its chemical structure.
2. Allows prediction of toxicology prior to creating molecule.
3. Medicinal chemists, toxicologists, pharmacologists
4. Drug Discovery Series, Toxicology Research
5. Provides the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure.
Mark Cronin is a Professor of Predictive Toxicology at Liverpool John Moores University, and has over 20 years of experience in the development of in silico approaches to predict toxicity including the use of QSAR, and read-across. He has published three books and over 160 papers in these areas. Judith Madden is a reader in Molecular Design at Liverpool John Moores University and has over 15 years experience in the application of QSAR and in silico techniques to predict the ADMET properties of xenobiotics. She has published one book and over 40 papers in these areas. Steven Enoch is a Post-Doctoral Research Fellow in Predictive Toxicology at Liverpool John Moores University. He is internationally recognised for his research in mechanistic categorisation for toxicology