Theoretical Descriptors for the Correlation of Aquatic Toxicity of Environmental Pollutants by Quantitative Structure-Toxicity Relationships
Quantitative structure-toxicity relationships were developed for the prediction of aqueous toxicities for Poecilia reticulata (guppy) using the CODESSA treatment. A two-parameter correlation was found for class 1 toxins with R 2 = 0.96, and a five-parameter correlation was found for class 2 toxins w...
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Veröffentlicht in: | Journal of Chemical Information and Computer Sciences 2001-09, Vol.41 (5), p.1162-1176 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Quantitative structure-toxicity relationships were developed for the prediction of aqueous toxicities for Poecilia reticulata (guppy) using the CODESSA treatment. A two-parameter correlation was found for class 1 toxins with R 2 = 0.96, and a five-parameter correlation was found for class 2 toxins with R 2 = 0.92. A five-parameter correlation for class 3 toxins had R 2 = 0.85. The correlations for class 4 toxins were less satisfactory. All the descriptors utilized are calculated solely from the structures of the molecules, which makes it possible to predict unavailable or unknown toxins. |
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ISSN: | 0095-2338 1549-960X |
DOI: | 10.1021/ci010011r |