- 424 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Endocrine Disruption Modeling
About this book
Uses Computational Tools to Simulate Endocrine Disruption PhenomenaEndocrine Disruption Modeling provides a practical overview of the current approaches for modeling endocrine activity and the related potential adverse effects they may induce on environmental and human health. Based on the extensive research of an international panel of contributor
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Yes, you can access Endocrine Disruption Modeling by James Devillers in PDF and/or ePUB format, as well as other popular books in Medicine & Environmental Science. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Halftitle Page
- QSAR in Environmental and Health Sciences
- Title Page
- Copyright Page
- Contents
- Series Introduction
- Acknowledgments
- Contributors
- 1 In Silico Methods for Modeling Endocrine Disruption
- 2 Mechanisms of Endocrine Disruptions: A Tentative Overview
- 3 Population Dynamics Modeling
- 4 Application of Pharmacokinetic Modeling to Understand the Mechanism of Action of Endocrine Disrupting Chemicals
- 5 Comparative Modeling Review of the Nuclear Hormone Receptor Superfamily
- 6 The U.S. Food and Drug Administration’s (FDA) Endocrine Disruptor Knowledge Base (EDKB) Lessons Learned in QSAR Modeling and Applications
- 7 A Structure-Activity Relationship (SAR) Analysis for the Identification of Environmental Estrogens The Categorical-SAR (cat-SAR) Approach
- 8 Kohonen and Counterpropagation Neural Networks Employed for Modeling Endocrine Disruptors
- 9 Quantitative Spectrometric Data- Activity Relationships (QSDAR) Models of Endocrine Disruptor Binding Activities
- 10 Mechanism-Based Modeling of Estrogen Receptor Binding Affinity A Common Reactivity Pattern (COREPA) Implementation
- 11 Molecular Field Analysis Methods for Modeling Endocrine Disruptors
- 12 Structure-Activity Modeling of a Diverse Set of Androgen Receptor Ligands
- 13 SAR and QSAR Analyses of Substituted Dibenzoylhydrazines for Their Mode of Action as Ecdysone Agonists
- 14 e-Endocrine Disrupting Chemical Databases for Deriving SAR and QSAR Models