Literature DB >> 16529851

QSARs in ecotoxicological risk assessment.

Daphne de Roode1, Conny Hoekzema, Selinda de Vries-Buitenweg, Beppy van de Waart, Jan van der Hoeven.   

Abstract

The need for more ecotoxicological data encourages the use of QSARs because of the reduction of (animal) testing, time and cost. QSARs may however only be used if they prove to be reliable and accurate. In this paper, four QSARs were attempted to predict toxicity for 170 compounds from a broad chemical class, using them as a black-box. Predictions were obtained for 122 compounds, indicating an important drawback of QSARs, i.e., for 28% of the compounds QSARs cannot be used at all. Ecosar, Topkat, and QSARs for non-polar and polar narcosis generated predictions for 120, 39, 24, and 11 compounds, respectively. Correlations between experimental and predicted effect concentrations were significant for Topkat and the QSAR for polar narcosis, but generally poor for Ecosar and the QSAR for non-polar narcosis. When predicted effect concentrations for fish were allowed to deviate from experimental values by a factor of 5, correct predictions were generated for 77%, 54%, 68%, and 91% of the compounds using Ecosar, Topkat, and the QSARs for non-polar and polar narcosis, respectively. It was impossible to indicate specific chemical classes for which a QSAR should be used or not. The results show that currently available QSARs cannot be used as a black-box.

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Year:  2006        PMID: 16529851     DOI: 10.1016/j.yrtph.2006.01.012

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  2 in total

1.  Using phylogenetic information and chemical properties to predict species tolerances to pesticides.

Authors:  Guillaume Guénard; Peter Carsten von der Ohe; Steven Carlisle Walker; Sovan Lek; Pierre Legendre
Journal:  Proc Biol Sci       Date:  2014-08-22       Impact factor: 5.349

2.  Comparison of Prioritisation Schemes for Human Pharmaceuticals in the Aquatic Environment.

Authors:  Sarah Letsinger; Paul Kay
Journal:  Environ Sci Pollut Res Int       Date:  2018-12-04       Impact factor: 4.223

  2 in total

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