In Silico Methods for Modeling Endocrine Disruption, J. Devillers
Mechanisms of Endocrine Disruptions, A Tentative Overview, J.M. Porcher, J. Devillers, and N. Marchand-Geneste
Population Dynamics Modeling: A Tool For Environmental Risk Assessment of Endocrine Disrupting Chemicals, A.R. Brown, P.F. Robinson, A.M. Riddle, and G.H. Panter
Application of Pharmacokinetic Modeling to Understand the Mechanism of Action of Endocrine Disrupting Chemicals, J. Devillers
Comparative Modeling Review of Nuclear Hormone Receptor Superfamily, N. Marchand-Geneste and J. Devillers
The FDA’s Endocrine Disruptor Knowledge Base (EDKB): Lessons Learned in QSAR Modeling and Applications, H. Fang, R. Perkins, L. Shi, D.M. Sheehan, and W. Tong
A Structure-Activity Relationship (SAR) Analysis for the Identification of Environmental Estrogens: The Categorical-SAR (cat-SAR) Approach, A.R. Cunningham, D.M. Consoer, S.A. Iype, and S.L. Cunningham
Kohonen and Counterpropagation Neural Networks Employed for Modeling Endocrine Disruptors, M. Novic and M. Vracko
Quantitative Spectrometric Data-Activity Relationships (QSDAR) Models of Endocrine Disruptor Binding Activities, R.D. Beger, D.A. Buzatu, and J.G. Wilkes
Mechanism-Based Modeling of Estrogen Receptor Binding Affinity: A COREPA Implementation, O. Mekenyan and R. Serafimova
Molecular Field Analysis Methods for Modeling Endocrine Disruptors, J.P. Doucet and A. Panaye
Structure-Activity Modeling of a Diverse Set of Androgen Receptor Ligands, J. Devillers, J.P. Doucet, A. Panaye, N. Marchand-Geneste, and J.M. Porcher
SAR and QSAR Analyses of Substituted Dibenzoylhydrazines for Their Mode of Action as Ecdysone Agonists, T. Fujita and Y. Nakagawa
e-Endocrine Disrupting Chemical Databases for Deriving SAR and QSAR Models, N. Marchand-Geneste, J. Devillers, J.C. Doré, and J.M. Porcher
Biography
James Devillers
