{"product_id":"quantitative-modeling-in-toxicology-isbn-9780470998090","title":"Quantitative Modeling in Toxicology","description":"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.  \u003cp\u003eIn \u003ci\u003eQuantitative Modeling in Toxicology\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ethe quantitative models of pharmacokinetics of individual chemicals and mixtures\u003c\/li\u003e \u003cli\u003emodels for toxicant-target tissue interaction. \u003c\/li\u003e \u003cli\u003emodels for cellular, organ, and organism responses.\u003c\/li\u003e \u003cli\u003eapproaches, tools and challenges for model application and evaluation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA website containing computer codes accompanies the book to help the reader reconstruct the models described and discussed in the various chapters.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eQuantitative Modeling in Toxicology\u003c\/i\u003e 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.\u003c\/p\u003e  \u003cb\u003eAbout the Editors.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eAbout the Book.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eList of Contributors.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 1 INTRODUCTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Quantitative Modeling in Toxicology: An Introduction (\u003ci\u003eMelvin E. Andersen and Kannan Krishnan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 2 PHYSIOLOGICALLY-BASED TOXICOKINETIC AND PHARMACOKINETIC (PBPK) MODELING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2 PBPK Modeling: A Primer (\u003ci\u003eKannan Krishnan, George D. Loizou, Martin Spendiff, John C. Lipscomb and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e3 Pharmacokinetic Modeling of Manganese – An Essential Element (\u003ci\u003eAndy Nong, Michael D. Taylor, Miyoung Yoon, and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e4 Physiologically Based Modeling of Pharmacokinetic Interactions in Chemical Mixtures (\u003ci\u003eSami Haddad, Robert Tardif, Jonathan Boyd, and Kannan Krishnan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e5 Physiological Parameters and Databases for PBPK Modeling (\u003ci\u003eDouglas O. Johns, Elizabeth Oesterling Owens, Chad M. Thompson, Babasaheb Sonawane, Dale Hattis and Kannan Krishnan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 3 MODELING TOXICANT-TARGET INTERACTIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6 Modeling Cholinesterase Inhibition (\u003ci\u003eCharles Timchalk, Paul M. Hinderliter, and Torka S. Poet\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e7 Modeling of Protein Induction and Dose-Dependent Hepatic Sequestration (\u003ci\u003eAndy Nong and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e8 Bistable Signaling Motifs and Cell Fate Decisions (\u003ci\u003eSudin Bhattacharya, Qiang Zhang, and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e9 Ultrasensitive Response Motifs in Biochemical Networks (\u003ci\u003eQiang Zhang, Sudin Bhattacharya, Courtney G. Woods, and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e10 Gene and Protein Expression – Modeling Nested Motifs in Cellular and Tissue Response Networks (\u003ci\u003eMelvin E. Andersen, Qiang Zhang, and Sudin Bhattacharya\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e11 Modeling Liver and Kidney Cytotoxicity (\u003ci\u003eKai H. Liao, Yei M. Tan, Harvey J. Clewell III, and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 4 MODELING TISSUE AND ORGANISM RESPONSES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat (\u003ci\u003eJeffrey W. Fisher and Eva D. McLanahan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e13 Two-Stage Clonal Growth Modeling of Cancer (\u003ci\u003eRory B. Conolly and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures (\u003ci\u003eHisham A. El-Masri, Michael A. Lyons, and Raymond S.H. Yang\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e15 (Q)SAR Models of Adverse Responses: Acute Systemic Toxicity (\u003ci\u003eMark T.D. Cronin, Yana K. Koleva, and Judith C. Madden\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 5 MODEL APPLICATION AND EVALUATION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16 Modeling Exposures to Chemicals From Multiple Sources and Routes (\u003ci\u003ePanos G. Georgopoulos, Sastry S. Isukapalli, and Kannan Krishnan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data (\u003ci\u003eYu-Mei Tan and Harvey J. Clewell III\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e18 Quantitative Modeling in Noncancer Risk Assessment (\u003ci\u003eQ. Jay Zhao, Lynne Haber, Melissa Kohrman-Vincent, Patricia Nance, and Michael Dourson\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e19 Application of Physiologically Based Pharmacokinetic Modeling in Health Risk Assessment (\u003ci\u003eHarvey J. Clewell III\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e20 Uncertainty, Variability, and Sensitivity Analyses in Simulation Models (\u003ci\u003eSastry S. Isukapalli, Martin Spendiff, Panos G. Georgopoulos and Kannan Krishnan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e21 Evaluation of Quantitative Models in Toxicology: Progress and Challenges (\u003ci\u003eKannan Krishnan and Melvin E. Andersen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cstrong\u003eDr. Kannan Krishnan, Director of Human Toxicology Research Group (TOXHUM), Université de Montréal, Canada\u003c\/strong\u003e\u003cbr\u003eAn expert in pharmacokinetics\/toxicokinetics, toxicology of chemical mixtures, computational toxicology, and health risk assessment methods, Dr. Krishnan has been the leader of the risk assessment methodologies theme team of the Canadian Network of Toxicology Centers, member of the U.S. National Academy of Sciences' Sub-committee on Acute Exposure Guideline Levels, President of the Risk Assessment Specialty Section of the Society of Toxicology, and advisor for the International Programme on Chemical Safety (IPCS) of WHO. He is a member of the editorial boards of \u003cem\u003eToxicological Sciences\u003c\/em\u003e, \u003cem\u003eInternational Journal of Toxicology\u003c\/em\u003e, \u003cem\u003eJournal of Applied Toxicology\u003c\/em\u003e and \u003cem\u003eJournal of Child Health\u003c\/em\u003e. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDr. Melvin E. Andersen, CIIT Centers for Health Research, Research Triangle Park, NC\u003c\/strong\u003e\u003cbr\u003eDr. Andersen is (1) the Director, Computational Biology Division, (2) Director, LRI-ACC Research Program and (3) Science Advisor, Center for Human Health Assessment at CIIT Centers for Health Research, Research Triangle Park, NC. Between 1971 and 1994, he held positions in toxicology research and research management in the federal government (DoD and US EPA) and in private industry (Chemical Industry Institute of Toxicology). He is recognized for developing short-courses and computer demonstrations in pharmacokinetic and pharmacodynamic modeling. He has received several awards for professional contributions, is a Fellow of the Academy of Toxicological Sciences and is recognized as a 'highly cited' scientist by the Institute for Scientific Information.   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.  \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eQuantitative Modeling in Toxicology\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ethe quantitative models of pharmacokinetics of individual chemicals and mixtures\u003c\/li\u003e \u003cli\u003emodels for toxicant-target tissue interaction. \u003c\/li\u003e \u003cli\u003emodels for cellular, organ, and organism responses.\u003c\/li\u003e \u003cli\u003eapproaches, tools and challenges for model application and evaluation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eA website containing computer codes accompanies the book to help the reader reconstruct the models described and discussed in the various chapters.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eQuantitative Modeling in Toxicology\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989896610021,"sku":"NP9780470998090","price":179.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470998090.jpg?v=1761785831","url":"https:\/\/k12savings.com\/es\/products\/quantitative-modeling-in-toxicology-isbn-9780470998090","provider":"K12savings","version":"1.0","type":"link"}