Quantitative Modeling in Toxicology

Quantitative Modeling in Toxicology

Editor(s): Kannan Krishnan, Melvin E. Andersen

Published Online: 30 MAR 2010

Print ISBN: 9780470998090

Online ISBN: 9780470686263

DOI: 10.1002/9780470686263

About this Book

Governments around the world are passing laws requiring industry to assess the toxicity of the chemicals and products they produce, but to do so while reducing, refining, or even replacing testing on animals. To meet these requirements, experimental toxicologists and risk assessors are adopting quantitative approaches and computer simulations to study the biological fate and effects of chemicals and drugs.

In Quantitative Modeling in Toxicology leading experts outline the current state of knowledge on the modeling of dose, tissue interactions and tissue responses. Each chapter describes the mathematical foundation, parameter estimation, challenges and perspectives for development, along with the presentation of a modeling template. Additionally, tools and approaches for conducting uncertainty, sensitivity and variability analyses in these models are described.  Topics covered include:

  • the quantitative models of pharmacokinetics of individual chemicals and mixtures
  • models for toxicant-target tissue interaction. 
  • models for cellular, organ, and organism responses.
  • approaches, tools and challenges for model application and evaluation

A website containing computer codes accompanies the book to help the reader reconstruct the models described and discussed in the various chapters.

Quantitative Modeling in Toxicology serves as an essential reference source and tool box for risk assessors and researchers and students in toxicology, public health, pharmacology, and human toxicology interested in developing quantitative models for a better understanding of dose-response relationships.

Table of contents

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  1. Section 1: Introduction

  2. Section 2: Physiologically-Based Toxicokinetic and Pharmacokinetic (PBPK) Modeling

    1. Chapter 2

      PBPK Modeling: A Primer (pages 19–58)

      Dr. Kannan Krishnan, George D. Loizou, Martin Spendiff, John C. Lipscomb and Dr Melvin E. Andersen

    2. Chapter 5

      Physiological Parameters and Databases for PBPK Modeling (pages 107–134)

      Douglas O. Johns, Elizabeth Oesterling Owens, Chad M. Thompson, Babasaheb Sonawane, Dale Hattis and Dr. Kannan Krishnan

  3. Section 3: Modeling Toxicant-Target Interactions

    1. Chapter 9

      Ultrasensitive Response Motifs in Biochemical Networks (pages 199–217)

      Qiang Zhang, Sudin Bhattacharya, Courtney G. Woods and Dr Melvin E. Andersen

    2. Chapter 11

      Modeling Liver and Kidney Cytotoxicity (pages 235–250)

      Kai H. Liao, Yei M. Tan, Harvey J. Clewell and Dr Melvin E. Andersen

  4. Section 4: Modeling Tissue and Organism Responses

  5. SECTION 4: Modeling Tissue and Organism Responses

  6. Section 5: Model Application and Evaluation

    1. Chapter 18

      Quantitative Modeling in Noncancer Risk Assessment (pages 371–398)

      Q. Jay Zhao, Lynne Haber, Melissa Kohrman-Vincent, Patricia Nance and Michael Dourson

    2. Chapter 20

      Uncertainty, Variability, and Sensitivity Analyses in Simulation Models (pages 429–458)

      Sastry S. Isukapalli, Martin Spendiff, Panos G. Georgopoulos and Dr. Kannan Krishnan

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