Main description:

Governments around the world are passing laws requiring industry to assess the toxicity of the chemicals/products they produce. 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. Written by leading experts in the field who contribute their own models, codes and examples, Quantitative Modeling in Toxicology outlines the current state of knowledge on the modeling of dose, tissue interactions and tissue responses. A Web site containing computer modeling codes, templates and examples that can be used by toxicologists accompanies the book.

Contents:

About the Editors. About the Book. List of Contributors. SECTION 1 INTRODUCTION. 1 Quantitative Modeling in Toxicology: An Introduction(Melvin E. Andersen and Kannan Krishnan). SECTION 2 PHYSIOLOGICALLY-BASED TOXICOKINETIC ANDPHARMACOKINETIC (PBPK) MODELING. 2 PBPK Modeling: A Primer (Kannan Krishnan, George D. Loizou,Martin Spendiff, John C. Lipscomb and Melvin E. Andersen). 3 Pharmacokinetic Modeling of Manganese An EssentialElement (Andy Nong, Michael D. Taylor, Miyoung Yoon, and MelvinE. Andersen). 4 Physiologically Based Modeling of Pharmacokinetic Interactionsin Chemical Mixtures (Sami Haddad, Robert Tardif, Jonathan Boyd,and Kannan Krishnan). 5 Physiological Parameters and Databases for PBPK Modeling(Douglas O. Johns, Elizabeth Oesterling Owens, Chad M. Thompson,Babasaheb Sonawane, Dale Hattis and Kannan Krishnan). SECTION 3 MODELING TOXICANT-TARGET INTERACTIONS. 6 Modeling Cholinesterase Inhibition (Charles Timchalk, PaulM. Hinderliter, and Torka S. Poet). 7 Modeling of Protein Induction and Dose-Dependent HepaticSequestration (Andy Nong and Melvin E. Andersen). 8 Bistable Signaling Motifs and Cell Fate Decisions (SudinBhattacharya, Qiang Zhang, and Melvin E. Andersen). 9 Ultrasensitive Response Motifs in Biochemical Networks(Qiang Zhang, Sudin Bhattacharya, Courtney G. Woods, and MelvinE. Andersen). 10 Gene and Protein Expression Modeling Nested Motifs inCellular and Tissue Response Networks (Melvin E. Andersen, QiangZhang, and Sudin Bhattacharya). 11 Modeling Liver and Kidney Cytotoxicity (Kai H. Liao, YeiM. Tan, Harvey J. Clewell III, and Melvin E. Andersen). SECTION 4 MODELING TISSUE AND ORGANISM RESPONSES. 12 Computational Model for Iodide Economy and the HPT Axis inthe Adult Rat (Jeffrey W. Fisher and Eva D. McLanahan). 13 Two-Stage Clonal Growth Modeling of Cancer (Rory B.Conolly and Melvin E. Andersen). 14 Statistical and Physiological Modeling of the Toxicity ofChemicals in Mixtures (Hisham A. El-Masri, Michael A. Lyons, andRaymond S.H. Yang). 15 (Q)SAR Models of Adverse Responses: Acute Systemic Toxicity(Mark T.D. Cronin, Yana K. Koleva, and Judith C.Madden). SECTION 5 MODEL APPLICATION AND EVALUATION. 16 Modeling Exposures to Chemicals From Multiple Sources andRoutes (Panos G. Georgopoulos, Sastry S. Isukapalli, and KannanKrishnan). 17 Probabilistic Reverse Dosimetry Modeling for InterpretingBiomonitoring Data (Yu-Mei Tan and Harvey J. ClewellIII). 18 Quantitative Modeling in Noncancer Risk Assessment (Q. JayZhao, Lynne Haber, Melissa Kohrman-Vincent, Patricia Nance, andMichael Dourson). 19 Application of Physiologically Based Pharmacokinetic Modelingin Health Risk Assessment (Harvey J. Clewell III). 20 Uncertainty, Variability, and Sensitivity Analyses inSimulation Models (Sastry S. Isukapalli, Martin Spendiff, PanosG. Georgopoulos and Kannan Krishnan). 21 Evaluation of Quantitative Models in Toxicology: Progress andChallenges (Kannan Krishnan and Melvin E. Andersen). Index.