title: Integration of computational analysis as a sentinel tool in toxicological assessments.
abstract: Computational toxicity modeling can have significant impact in the drug discovery process, especially when utilized as a sentinel filter for common drug safety liabilities, such as mutagenicity, carcinogenicity and teratogenicity. This review will focus on the strengths and limitations of the current computational models for predicting these drug safety liabilities, and the various strategies for incorporating these predictive models into the drug discovery process.
authors.affiliation: Discovery Safety Optimization, Bristol-Myers Squibb, Princeton, NJ 08543-4000, USA.
authors.forename: G M
authors.initials: GM
authors.lastname: Pearl
authors.forename: S
authors.initials: S
authors.lastname: Livingston-Carr
authors.forename: S K
authors.initials: SK
authors.lastname: Durham
mesh_terms: D000818:Animals; D002273:Carcinogens / Q000633:toxicity; D019295:Computational Biology; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D023421:Models, Animal; D009153:Mutagens / Q000633:toxicity; D015203:Reproducibility of Results; D012984:Software; D013723:Teratogens / Q000633:toxicity; D014116:Toxicology / Q000379:methods*
chemical_list: D002273:Carcinogens; D009153:Mutagens; D013723:Teratogens