chapter 1 A Brief Introduction to Predictive Toxicology / chapter 2 Description and Representation of Chemicals / chapter 3 Computational Biology and Toxicogenomics / chapter 4 Toxicological Information for Use in Predictive Modeling: Quality, Sources, and Databases / chapter 5 The Use of Expert Systems for Toxicology Risk Prediction / chapter 6 Regression- and Projection-Based Approaches in Predictive Toxicology / chapter 7 Machine Learning and Data Mining / chapter 8 Neural Networks and Kernel Machines for Vector and Structured Data. Paolo Frasconi -- chapter 9 Applications of Substructure-Based SAR in Toxicology / chapter 10 OncoLogic: A Mechanism-Based Expert System for Predicting the Carcinogenic Potential of Chemicals / chapter 11 META: An Expert System for the Prediction of Metabolic Transformations / chapter 12 MC4PC�An Artificial Intelligence Approach to the Discovery of Quantitative Structure�Toxic Activity Relationships / chapter 13 PASS: Prediction of Biological Activity Spectra for Substances / chapter 14 lazar: Lazy Structure�Activity Relationships for Toxicity Prediction