eBook Computational Toxicology, 1st Edition

  • Published By:
  • ISBN-10: 012396508X
  • ISBN-13: 9780123965080
  • DDC: 615.900285
  • Grade Level Range: College Freshman - College Senior
  • 274 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013
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Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided in this book are based on cutting-edge technologies and set out to stimulate the further development of this promising field to offer rapid, better and more cost-effective answers to major public health concerns.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
List of Contributors.
1: Introduction.
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.
3: Multiple Chemical Exposures and Risk Assessment.
4: Modeling of Sensitive Subpopulations and Interindividual Variability in Pharmacokinetics for Health Risk Assessments.
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.
6: Computational Translation and Integration of Test Data to Meet Risk Assessment Goals.
7: Computational Translation of Nonmammalian Species Data to Mammalian Species to Meet REACH and Next Generation Risk Assessment Needs.
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.
9: Uses of Publicly Available Data in Risk Assessment.
10: Computational Toxicology Experience and Applications for Risk Assessment in the Pharmaceutical Industry.
11: Omics Biomarkers in Risk Assessment.
12: Translation of Computational Model Results for Risk Decisions.
13: Future Directions for Computational Toxicology for Risk Assessment.