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dc.contributor.authorNORLEN Hedvigen_GB
dc.contributor.authorBERGGREN Katarinaen_GB
dc.contributor.authorWHELAN Mauriceen_GB
dc.contributor.authorWORTH Andrewen_GB
dc.date.accessioned2014-03-27T01:02:49Z-
dc.date.available2012-12-31en_GB
dc.date.available2014-03-27T01:02:49Z-
dc.date.created2012-10-30en_GB
dc.date.issued2012en_GB
dc.date.submitted2012-07-04en_GB
dc.identifier.isbn978-92-79-26058-2 (print)en_GB
dc.identifier.isbn978-92-79-21708-1 (pdf)en_GB
dc.identifier.issn1018-5593 (print)en_GB
dc.identifier.issn1831-9424 (online)en_GB
dc.identifier.otherEUR 25473 ENen_GB
dc.identifier.otherOPOCE LB-NA-25473-EN-C (print); LB-NA-25473-EN-N (online)en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC72736-
dc.description.abstractWe have assessed the abilities of five alternative (non-animal) approaches to predict acute oral toxicity, a toxicological endpoint relevant to multiple pieces of legislation on chemicals and consumer products. In particular, we have investigated four QSAR models (ToxSuite, TOPKAT, TEST and ADMET Predictor) and one in vitro method (3T3 NRU). Based on a test set of in vitro and in vivo data for 180 compounds, we have characterized the predictive performance of each method when used alone (both for LD50 prediction and acute toxicity classification into three categories), as well as multiple test combinations (batteries) and stepwise testing strategies (for acute toxicity classification into three categories). When used individually, the alternative methods showed an ability to predict LD50 with correlation coefficients in the range from 49% to 84%, and to classify into three toxicity groups with accuracies in the range from 41% to 72%. When the alternative methods were combined into batteries or testing strategies, the overall accuracy of prediction could reach 76%. We also illustrate how different combinations of methods can be used to optimize sensitivity or specificity.en_GB
dc.description.sponsorshipJRC.I.5-Systems Toxicologyen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherPublications Office of the European Unionen_GB
dc.relation.ispartofseriesJRC72736en_GB
dc.titleAn investigation into the use of computational and in vitro methods for acute systemic toxicity predictionen_GB
dc.typeEUR - Scientific and Technical Research Reportsen_GB
dc.identifier.doi10.2788/44144 (print)en_GB
dc.identifier.doi10.2788/43848 (online)en_GB
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