Title of article
A quantitative structure-toxicity relationships model for the dermal sensitization guinea pig maximization assay
Author/Authors
Kurt Enslein، نويسنده , , K and Gombar، نويسنده , , V.K and Blake، نويسنده , , B.W and Maibach، نويسنده , , H.I and Hostynek، نويسنده , , J.J and Sigman، نويسنده , , C.C and Bagheri، نويسنده , , D، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
Pages
8
From page
1091
To page
1098
Abstract
We have developed quantitative structure-toxicity relationship (QSTR) models for assessing dermal sensitization using guinea pig maximization test (GPMT) results. The models are derived from 315 carefully evaluated chemicals. There are two models, one for aromatics (excluding one-benzene-ring compounds), and the other for aliphatics and one-benzene-ring compounds. For sensitizers, the models can resolve whether they are weak/moderate or severe sensitizers. The statistical methodology, based on linear discriminant analysis, incorporates an optimum prediction space (OPS) algorithm. This algorithm ensures that the QSTR model will be used only to make predictions on query structures which fall within its domain. Calculation of the similarities between a query structure and the database compounds from which the applicable model was developed are used to validate each skin sensitization assessment. The cross-validated specificity of the equations ranges between 81 and 91%, and the sensitivity between 85 and 95%. For an independent test set, specificity is 79%, and sensitivity 82%.
Keywords
toxicity prediction , structure-activity relationships , GPMT , QSAR , Discriminant analysis
Journal title
Food and Chemical Toxicology
Serial Year
1997
Journal title
Food and Chemical Toxicology
Record number
2114301
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