Endocrine disruption modeling

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Bibliographic Details
Other Authors Devillers, J. 1956-
Format eBook
LanguageEnglish
Published Boca Raton : Taylor & Francis, 2009.
SeriesQSAR in environmental and health sciences.
Subjects
Endocrine disrupting chemicals > Research > Methodology.
QSAR (Biochemistry)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781420076363
Physical Description404 p., [7] p. of plates : ill. (some col.).

Cover

Table of Contents:
  • In silico methods for modeling endocrine disruption / J. Devillers
  • Mechanisms of endocrine disruptions : a tentative overview / Jean-Marc Porcher, James Devillers, and Nathalie Marchand-Geneste
  • Population dynamics modeling : a tool for environmental risk assessment of endocrine disrupting chemicals / A.R. Brown ... [et al.]
  • Application of pharmacokinetic modeling to understand the mechanism of action of endocrine disrupting chemicals / James Devillers
  • Comparative modeling review of nuclear hormone receptor superfamily / Nathalie Marchand-Geneste and James Devillers
  • The FDA's endocrine disruptor knowledge base (EDKB) : lessons learned in QSAR modeling and applications / Weida Tong
  • A structure-activity relationship (SAR) analysis for the identification of environmental estrogens : the categorical-SAR (CAT-SAR) approach / Albert R. Cunningham
  • Kohonen and counterpropagation neural networks employed for modeling endocrine disruptors / Marjana Novic and Marjan Vracko
  • Quantitative spectrometric data-activity relationships (QSDAR) models of endocrine disruptor binding activities / Richard D. Beger
  • Mechanism-based modeling of estrogen receptor binding affinity : a COREPA implementation / Ovanes Mekenyan and Rossitsa Serafimova
  • Molecular field analysis methods for modeling endocrine disruptors / Jean-Pierre Doucet
  • Structure-activity modeling of a diverse set of endrogen receptor ligands / J. Devillers ... [et al.]
  • SAR and QSAR analyses of substituted dibenzoylhydrazines for their mode of action as ecdysone agonists / Toshio Fujita
  • e-Endocrine disrupting chemical databases for deriving SAR and QSAR models / Nathalie Marchand-Geneste ... [et al.].

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