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- 2009002784 contributor B11395762.
- 2009002784 created "c2009.".
- 2009002784 date "2009".
- 2009002784 date "c2009.".
- 2009002784 dateCopyrighted "c2009.".
- 2009002784 description "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.] --".
- 2009002784 description "Includes bibliographical references and index.".
- 2009002784 description "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.].".
- 2009002784 extent "404 p., [7] p. of plates :".
- 2009002784 identifier "1420076353 (hardcover : alk. paper)".
- 2009002784 identifier "9781420076356 (hardcover : alk. paper)".
- 2009002784 isPartOf "QSAR in environmental and health sciences".
- 2009002784 isPartOf "QSAR in environmental and health sciences.".
- 2009002784 issued "2009".
- 2009002784 issued "c2009.".
- 2009002784 language "eng".
- 2009002784 publisher "Boca Raton : CRC Press,".
- 2009002784 subject "615/.190072 22".
- 2009002784 subject "Endocrine Disruptors.".
- 2009002784 subject "Endocrine disrupting chemicals Research Methodology.".
- 2009002784 subject "QSAR (Biochemistry)".
- 2009002784 subject "Quantitative Structure-Activity Relationship.".
- 2009002784 subject "RA1224.2 .E625 2009".
- 2009002784 tableOfContents "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.] --".
- 2009002784 tableOfContents "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.].".
- 2009002784 title "Endocrine disruption modeling / edited by James Devillers.".
- 2009002784 type "text".