Prediction and Classification of Drug Toxicity Using Probabilistic Modeling of Temporal Metabolic Data:  The Consortium on Metabonomic Toxicology Screening Approach

• Published in: Journal of proteome research Vol. 6; no. 11; pp. 4407 - 4422
• Main Authors: Ebbels, Timothy M. D, Keun, Hector C, Beckonert, Olaf P, Bollard, Mary E, Lindon, John C, Holmes, Elaine, Nicholson, Jeremy K
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 01.11.2007
• Subjects: Animals; Chemistry, Pharmaceutical - methods; Drug Evaluation, Preclinical - instrumentation; Drug Evaluation, Preclinical - methods; Drug-Related Side Effects and Adverse Reactions; Humans; Kidney - drug effects; Liver - drug effects; Magnetic Resonance Spectroscopy - methods; Male; Models, Statistical; Probability; Rats; Rats, Sprague-Dawley; Sensitivity and Specificity; Technology, Pharmaceutical - methods; Time Factors; Toxicology - methods

Detection and classification of in vivo drug toxicity is an expensive and time-consuming process. Metabolic profiling is becoming a key enabling tool in this area as it provides a unique perspective on the characterization and mechanisms of response to toxic insult. As part of the Consortium on Meta...