Endocrine disruption modeling / (Record no. 52758)

000 -LEADER
fixed length control field 02558cam a22002414a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090122s2009 fluaf b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781420076356 (Paperback)
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Universal Decimal Classification number 615
Item number DEV
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Devillers, James
245 00 - TITLE STATEMENT
Title Endocrine disruption modeling /
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton
Name of publisher CRC Press
Year of publication 2009
300 ## - PHYSICAL DESCRIPTION
Number of Pages xi, 404 p.
490 ## - SERIES STATEMENT
Series statement QSAR in environmental and health sciences
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.] --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.].
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Endocrine disrupting chemicals
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term QSAR (Biochemistry)
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Endocrine Disruptors.
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Quantitative Structure-Activity Relationship.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Computational Biology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type BOOKS
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Shelving location Full call number Accession Number Koha item type Public note
        IMSc Library Second floor, Rack No: 47, Shelf No: 8 614 DEV 75000 BOOKS Book may be borrowed after (23rd November 2019)
The Institute of Mathematical Sciences, Chennai, India

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