title: Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals.
abstract: A database of chronic lowest observed adverse effect levels (LOAELs) for 234 compounds, previously compiled from different sources (Toxicology Letters79, 131-143 (1995)), was modelled using graph theoretical descriptors. This study reveals that data are not homogeneous. Only those data originating from the U.S. Environmental Protection Agency (EPA) reports could be well modelled by multilinear regression (MLR) and linear discriminant analysis (LDA). In contrast, data available from the specific procedures of the National Toxicology Program (NTP) database introduced noise and did not render good models either alone, or in combination with the EPA data.
authors.affiliation: Red de Investigación de Centros de Enfermedades Tropicales, Facultad de Farmacia, Universidad de Valencia, Burjasot, Spain.
authors.forename: J V
authors.initials: JV
authors.lastname: de Julián-Ortiz
authors.forename: R
authors.initials: R
authors.lastname: García-Domenech
authors.forename: J
authors.initials: J
authors.lastname: Gálvez
authors.forename: L
authors.initials: L
authors.lastname: Pogliani
mesh_terms: D000818:Animals; D016014:Linear Models; D008962:Models, Theoretical; D009930:Organic Chemicals / Q000633:toxicity*; D015203:Reproducibility of Results; D013329:Structure-Activity Relationship; D036401:Toxicity Tests, Chronic
chemical_list: D009930:Organic Chemicals