Quantitative modeling in toxicology

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Language: Anglais
Cover of the book Quantitative modeling in toxicology

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536 p. · 24.4x16.8 cm · Hardback
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.
Preface

About the Editors

About the Book

List of Contributors

Section1: Introduction

Chapter 1 Quantitative modeling in toxicology: An introduction

Melvin E. Andersen and Kannan Krishnan

Section2: Physiologically-based toxicokinetic and pharmacokinetic (PBPK) modeling

Chapter 2 PBPK modeling: a primer

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

Chapter 3 Pharmacokinetic modeling with Manganese - An essential element

Andy Nong, Michael Taylor, Miyoung Yoon, and Melvin E. Andersen

Chapter 4 Physiologically-based modeling of pharmacokinetic interactions in chemical mixtures

Sami Haddad, Robert Tardif, Jonathan Boyd, and Kannan Krishnan

Chapter 5 Physiological Parameters and Databases for PBPK Modeling

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

Section3: Modeling toxicant-target interactions

Chapter 6 Modeling cholinesterase Inhibition

Charles Timchalk, Paul M. Hinderliter,and Torka S. Poet

Chapter 7 Modeling of Protein Induction and dose-dependent hepatic sequestration

Andy Nong and Melvin E. Andersen

Chapter 8 Bistable Signaling Motifs and Cell Fate Decisions

Sudin Bhattacharya, Qiang Zhang, and Melvin E. Andersen M.E.

Chapter 9 Ultrasensitive Response Motifs in Biochemical Networks

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

Chapter 10 Gene and Protein Expression - Modeling Nested Motifs in Cellular and Tissue Response Networks

Melvin E. Andersen, Qiang Zhang, and Sudin Bhattacharya

Chapter 11 Modeling Kidney and Liver Cytotoxicity

Kai H. Liao, Yu-Mei Tan, Harvey J. Clewell III, and Melvin E. Andersen

Section4: Modeling tissue and organism responses

Chapter 12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat

Jeffrey W. Fisher and Eva D. McLanahan

Chapter 13 Two Stage Clonal Growth Modeling of Cancer

Rory B. Conolly and Melvin E. Andersen

Chapter 14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures

Hisham A. El-Masri, Michael A. Lyons, and Raymond S.H. Yang

Chapter 15 (Q)SAR Models of Adverse Responses: Acute Systemic Toxicity

Mark T.D. Cronin, Yana K. Koleva, and Judith C. Madden

Section5: Model application and evaluation

Chapter 16 Modeling Exposures to Chemicals from Multiple Sources and Routes

Panos G. Georgopoulos, Sastry S. Isukapalli, and Kannan Krishnan

Chapter 17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data

Yu-Mei Tan and Harvey J. Clewell III

Chapter 18 Quantitative Modeling in Noncancer Risk...