Endocrine disruption modeling /

By: Devillers, JamesMaterial type: TextTextLanguage: English Series: QSAR in environmental and health sciencesPublication details: Boca Raton CRC Press 2009Description: xi, 404 pISBN: 9781420076356 (Paperback)Subject(s): Endocrine disrupting chemicals | QSAR (Biochemistry) | Endocrine Disruptors | Quantitative Structure-Activity Relationship | Computational Biology
Contents:
In silico methods for modeling endocrine disruption / James 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 / Andrew 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 U.S. Food and Drug Administration's (FDA) Endocrine Disruptor Knowledge Base (EDKB) : lessons learned in QSAR modeling and applications / Hong Fang ... [et al.] -- A structure-activity relationship (SAR) analysis for the identification of environmental estrogens : the categorical-SAR (cat-SAR) approach / Albert R. Cunningham ... [et al.] --
Kohonen and counterpropagation neural networks employed for modeling endocrine disruptors / Marjana Novič and Marjan Vračko -- Quantitative spectrometric data-activity relationships (QSDAR) models of endocrine disruptor binding activities / Richard D. Beger, Dan A. Buzatu, and Jon G. Wilkes -- Mechanism-based modeling of estrogen receptor binding affinity : a Common Reactivity Pattern (COREPA) implementation / Ovanes Mekenyan and Rossitsa Serafimova -- Molecular field analysis methods for modeling endocrine disruptors / Jean-Pierre Doucet and Annick Panaye -- Structure-activity modeling of a diverse set of androgen receptor ligands / James Devillers ... [et al.] -- SAR and QSAR analyses of substituted dibenzoylhydrazines for their mode of action as ecdysone agonists / Toshio Fujita and Yoshiaki Nakagawa -- e-Endocrine disrupting chemical databases for deriving SAR and QSAR models / Nathalie Marchand-Geneste ... [et al.].
Item type: BOOKS List(s) this item appears in: New Arrivals (08 November 2019)
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In silico methods for modeling endocrine disruption / James 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 / Andrew 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 U.S. Food and Drug Administration's (FDA) Endocrine Disruptor Knowledge Base (EDKB) : lessons learned in QSAR modeling and applications / Hong Fang ... [et al.] -- A structure-activity relationship (SAR) analysis for the identification of environmental estrogens : the categorical-SAR (cat-SAR) approach / Albert R. Cunningham ... [et al.] --

Kohonen and counterpropagation neural networks employed for modeling endocrine disruptors / Marjana Novič and Marjan Vračko -- Quantitative spectrometric data-activity relationships (QSDAR) models of endocrine disruptor binding activities / Richard D. Beger, Dan A. Buzatu, and Jon G. Wilkes -- Mechanism-based modeling of estrogen receptor binding affinity : a Common Reactivity Pattern (COREPA) implementation / Ovanes Mekenyan and Rossitsa Serafimova -- Molecular field analysis methods for modeling endocrine disruptors / Jean-Pierre Doucet and Annick Panaye -- Structure-activity modeling of a diverse set of androgen receptor ligands / James Devillers ... [et al.] -- SAR and QSAR analyses of substituted dibenzoylhydrazines for their mode of action as ecdysone agonists / Toshio Fujita and Yoshiaki Nakagawa -- e-Endocrine disrupting chemical databases for deriving SAR and QSAR models / Nathalie Marchand-Geneste ... [et al.].

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