EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy)
Browsing EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy) by Author

Browsing EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy) by Author "Netzeva, T. I."

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Browsing EURL ECVAM – European Union Reference Laboratory for Alternatives to Animal Testing, Joint Research Centre (Italy) by Author "Netzeva, T. I."

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Benigni, R.; Bossa, C.; Netzeva, T. I.; Rodomonte, A.; Tsakovska, I. Mechanistic QSAR of aromatic amines: New models for discriminating between homocyclic mutagens and nonmutagens, and validation of models for carcinogens. Environ. Mol. Mutagen. 2007, 48, 754–771.

Published: Alfonso T. Garcia-Sosa (2015-03-23)

Abstract: Because of its environmental and industrial importance, the aromatic amines are the single chemical class most studied for its ability to induce mutations and cancer. The large database of mutagenicity and carcinogenicity results has been studied with Quantitative Structure-Activity Relationship (QSAR) approaches by several authors, leading to models for the ...

HumanHealth Regression QMRF
Saliner, A. G.; Netzeva, T. I.; Worth, A. P. Prediction of estrogenicity: validation of a classification model. SAR QSAR Environ. Res. 2006, 17, 195–223.

Published: Geven Piir (2020-01-10)

Abstract: (Q)SAR models can be used to reduce animal testing as well as to minimise the testing costs. In particular, classification models have been widely used for estimating endpoints with binary activity. The aim of the present study was to develop and validate a classification-based quantitative structure-activity relationship (QSAR) model for endocrine disruption, ...

HumanHealth Classification

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