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e-endocrine disrupting chemical databases for deriving QSAR models

Nathalie Marchand-Geneste 1 James Devillers 2 Jean-Christophe Dore 3 Jean-Marc Porcher 4
1 ISM - Institut des Sciences Moléculaires
2 Centre de Traitement de l'Informatique Scientifique
3 Laboratoire de chimie et biochimie des substances naturelles
4 INERIS - Institut National de l'Environnement Industriel et des Risques
Abstract : There is increasing evidence that numerous chemicals released into the environment by human activities have the potential to alter the normal functions of the endocrine system in wildlife. These xenobiotics, mimicking natural hormones, are called endocrine disrupting chemicals (EDCs). The aim of this study was to catalogue the different EDC database (biological data, chemical descriptor data, etc.) resources available on the Internet for deriving structure-activity models. In vitro and in vivo experimental data on nuclear receptor binding assays, in vitro test methods reliability and variability assessment for detecting EDCs and comparison between biological assays will be presented and critically analysed.
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Conference papers
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https://hal-ineris.archives-ouvertes.fr/ineris-00970315
Contributor : Gestionnaire Civs <>
Submitted on : Wednesday, April 2, 2014 - 3:46:51 PM
Last modification on : Tuesday, July 21, 2020 - 4:52:00 AM

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  • HAL Id : ineris-00970315, version 1
  • INERIS : EN-2007-334

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INERIS | CNRS | UNIV-BORDEAUX | INC-CNRS | MNHN

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Nathalie Marchand-Geneste, James Devillers, Jean-Christophe Dore, Jean-Marc Porcher. e-endocrine disrupting chemical databases for deriving QSAR models. 4. International Symposium "Computational Methods in Toxicology and Pharmacology Integrating Internet Resources" (CMTPI 2007), Sep 2007, Moscou, Russia. ⟨ineris-00970315⟩

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