Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
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Training set | training | 36 | 0.908 | 0.191 |
When using this QDB archive, please cite (see details) it together with the original article:
Garcia-Sosa, A. T. Data for: A baseline inhalation toxicity model for narcosis in mammals. QsarDB repository, QDB.129. 2014. https://doi.org/10.15152/QDB.129
Veith, G. D.; Petkova, E. P.; Wallace, K. B. A baseline inhalation toxicity model for narcosis in mammals. SAR QSAR Environ. Res. 2009, 20, 567–578. https://doi.org/10.1080/10629360903278669
Title: | Veith, G.D.; Petkova, E.P.; Wallace, K.B. A baseline inhalation toxicity model for narcosis in mammals. SAR QSAR Environ. Res. 2009, 20, 5-6, 567–578. |
Abstract: | This paper presents the results of an analysis of the rodent inhalation literature and the development of a quantitative structure–activity relationships (QSAR) model for 4-hour LC50 as baseline toxicity to complement the baseline toxicity model for aquatic animals. We used the same literature review criteria developed for the ECOTOX database which selects only primary references with explicit experimental methods to form a high-quality database. Our literature review focused on the primary references reporting a 4-hour exposure for a single species of rodent in which the chemical had been clearly tested as a vapour and for which the exposure concentrations were not ambiguous. An expert system was used to remove reactive chemicals, receptor-mediated toxicants, and any test that produced symptoms inconsistent with non-polar narcosis. The QSAR model derived for narcosis in rodents was log LC50 = 0.69 X log VP + 1.54 which had an r 2 of 0.91, which is significantly better than the baseline toxicity model for aquatic animals. This simple model suggests that there is no intrinsic barrier to estimating baseline toxicity for in vivo endpoints in mammalian or terrestrial toxicology. Keywords: QSAR; LC50; rodents; inhalation; toxicity |
URI: | http://hdl.handle.net/10967/129
http://dx.doi.org/10.15152/QDB.129 |
Date: | 2014-12-16 |
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2009SQER567.qdb.zip | n/a | application/zip | 9.335Kb | View/ |