Although the concept of toxicology is ancient, in practice, the field of toxicology was a specialty within the discipline of pharmacology. It was only about 1960 that toxicology began to establish itself as a field in its own right.<br>Overall, toxicology attempts to define possible adverse effects
Computational Toxicology. Methods and Applications for Risk Assessment
β Scribed by Bruce A. Fowler (Eds.)
- Year
- 2013
- Tongue
- English
- Leaves
- 263
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Front-matter, Pages i,iii
Copyright, Page iv
Foreword, Pages ix-xiv, Linda S. Birnbaum, Michael DeVito
List of Contributors, Pages xv-xvi, John Beresney, Peter Boogaard, Weihsueh Chiu, Sorina Eftim, Hong Fang, Jeff Fisher, Bruce A. Fowler, NatΓ lia Garcia-Reyero, Mark Gosink, Nigel Greene, Huixiao Hong, Frans Jongeneelen, Reagan Kelly, Kannan Krishnan, John C. Lipscomb, Zhichao Liu, Annie Lumen, Nikki Maples-Reynolds, William Mendez, Brooks McPhail, et al.
Chapter 1 - Introduction, Pages 1-4, Bruce A. Fowler
Chapter 2 - Quantitative Structure-Activity Relationship (QSAR) Models, Physiologically Based Pharmacokinetic (PBPK) Models, Biologically Based Dose Response (BBDR) and Toxicity Pathways: Computational Tools for Public Health, Pages 5-21, Patricia Ruiz, Xiaoxia Yang, Annie Lumen, Jeff Fisher
Chapter 3 - Multiple Chemical Exposures and Risk Assessment, Pages 23-44, John C. Lipscomb, Nikki Maples-Reynolds, Moiz Mumtaz
Chapter 4 - Modeling of Sensitive Subpopulations and Interindividual Variability in Pharmacokinetics for Health Risk Assessments, Pages 45-66, Kannan Krishnan, Brooks McPhail, Weihsueh Chiu, Paul White
Chapter 5 - Integrated Systems Biology Approaches to Predicting Drug-Induced Liver Toxicity: A Dynamic Systems Model of Rat Liver Homeostasis Combined with In Vitro Measurements to Predict In Vivo Toxicity, Pages 67-84, Kalyanasundaram Subramanian
Chapter 6 - Computational Translation and Integration of Test Data to Meet Risk Assessment Goals, Pages 85-112, Luis G. Valerio Jr.
Chapter 7 - Computational Translation of Nonmammalian Species Data to Mammalian Species to Meet REACH and Next Generation Risk Assessment Needs, Pages 113-136, Edward J. Perkins, NatΓ lia Garcia-Reyero
Chapter 8 - Interpretation of Human Biological Monitoring Data Using a Newly Developed Generic Physiological-Based Toxicokinetic Model: Examples of Simulations with Carbofuran and Methyl Ethyl Ketone, Pages 137-150, Frans Jongeneelen, Wil ten Berge, Peter J. Boogaard
Chapter 9 - Uses of Publicly Available Data in Risk Assessment, Pages 151-169, Isaac Warren, Eftim Sorina
Chapter 10 - Computational Toxicology Experience and Applications for Risk Assessment in the Pharmaceutical Industry, Pages 171-193, Nigel Greene, Mark Gosink
Chapter 11 - Omics Biomarkers in Risk Assessment: A Bioinformatics Perspective, Pages 195-213, Hong Fang, Huixiao Hong, Zhichao Liu, Roger Perkins, Reagan Kelly, John Beresney, Weida Tong, Bruce A. Fowler
Chapter 12 - Translation of Computational Model Results for Risk Decisions, Pages 215-245, William Mendez, Bruce A. Fowler
Chapter 13 - Future Directions for Computational Toxicology for Risk Assessment, Pages 247-249, Bruce A. Fowler
Index, Pages 251-258
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