Predictive toxicology is a tool used in the assessment of the toxicity of chemicals through the use of high-throughput experiments, computational biology, bioinformatics, and cell biology assay development. Read about how the EGSB team has developed a series of datasets for Benchmark Evaluation. The team also has contributed to the creation of assays for Hazard Identification. IVIVE, or in vitro to in vivo extrapolation, is an attempt to correlate in vitro chemical screening data with in vivo effects to reduce the amount of animal testing necessary to characterize the toxicity of a chemical. Part of toxicology is Mechanisms of Action Discovery, the identification of how a toxicant interacts with cells to produce the observed effects. Included in this is Molecular Modeling, which allows us to visualize and understand how a small toxicant might bind to a biological molecule. A major part of predictive toxicology is Quantitative Systems Toxicology, which uses large datasets and mathematical and computational models to provide predictive tools for understanding the toxicity of a chemical.
