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SAR and QSAR modeling of endocrine disruptors.
Devillers, J; Marchand-Geneste, N; Carpy, A; Porcher, J M.
Affiliation
  • Devillers J; CTIS, 3 Chemin de la Gravière, 69140 Rillieux La Pape, France. j.devillers@ctis.fr
SAR QSAR Environ Res ; 17(4): 393-412, 2006 Aug.
Article in En | MEDLINE | ID: mdl-16920661
ABSTRACT
A number of xenobiotics by mimicking natural hormones can disrupt crucial functions in wildlife and humans. These chemicals termed endocrine disruptors are able to exert adverse effects through a variety of mechanisms. Fortunately, there is a growing interest in the study of these structurally diverse chemicals mainly through research programs based on in vitro and in vivo experimentations but also by means of SAR and QSAR models. The goal of our study was to retrieve from the literature all the papers dealing with structure-activity models on endocrine disruptor xenobiotics. A critical analysis of these models was made focusing our attention on the quality of the biological data, the significance of the molecular descriptors and the validity of the statistical tools used for deriving the models. The predictive power and domain of application of these models were also discussed.
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Collection: 01-internacional Database: MEDLINE Main subject: Structure-Activity Relationship / Quantitative Structure-Activity Relationship / Endocrine Disruptors Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: SAR QSAR Environ Res Year: 2006 Document type: Article
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Structure-Activity Relationship / Quantitative Structure-Activity Relationship / Endocrine Disruptors Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: SAR QSAR Environ Res Year: 2006 Document type: Article