Quantitative Modeling in Toxicology (eBook)
504 Seiten
John Wiley & Sons (Verlag)
978-0-470-68670-6 (ISBN)
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.
Dr. Kannan Krishnan, Director of Human Toxicology Research Group (TOXHUM), Université de Montréal, Canada An 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 Toxicological Sciences, International Journal of Toxicology, Journal of Applied Toxicology and Journal of Child Health. Dr. Melvin E. Andersen, CIIT Centers for Health Research, Research Triangle Park, NC Dr. 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.
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 AND
PHARMACOKINETIC (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 Essential
Element (Andy Nong, Michael D. Taylor, Miyoung Yoon, and Melvin
E. Andersen).
4 Physiologically Based Modeling of Pharmacokinetic Interactions
in 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, Paul
M. Hinderliter, and Torka S. Poet).
7 Modeling of Protein Induction and Dose-Dependent Hepatic
Sequestration (Andy Nong and Melvin E. Andersen).
8 Bistable Signaling Motifs and Cell Fate Decisions (Sudin
Bhattacharya, Qiang Zhang, and Melvin E. Andersen).
9 Ultrasensitive Response Motifs in Biochemical Networks
(Qiang Zhang, Sudin Bhattacharya, Courtney G. Woods, and Melvin
E. Andersen).
10 Gene and Protein Expression - Modeling Nested Motifs in
Cellular and Tissue Response Networks (Melvin E. Andersen, Qiang
Zhang, and Sudin Bhattacharya).
11 Modeling Liver and Kidney Cytotoxicity (Kai H. Liao, Yei
M. 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 in
the 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 of
Chemicals in Mixtures (Hisham A. El-Masri, Michael A. Lyons, and
Raymond 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 and
Routes (Panos G. Georgopoulos, Sastry S. Isukapalli, and Kannan
Krishnan).
17 Probabilistic Reverse Dosimetry Modeling for Interpreting
Biomonitoring Data (Yu-Mei Tan and Harvey J. Clewell
III).
18 Quantitative Modeling in Noncancer Risk Assessment (Q. Jay
Zhao, Lynne Haber, Melissa Kohrman-Vincent, Patricia Nance, and
Michael Dourson).
19 Application of Physiologically Based Pharmacokinetic Modeling
in Health Risk Assessment (Harvey J. Clewell III).
20 Uncertainty, Variability, and Sensitivity Analyses in
Simulation Models (Sastry S. Isukapalli, Martin Spendiff, Panos
G. Georgopoulos and Kannan Krishnan).
21 Evaluation of Quantitative Models in Toxicology: Progress and
Challenges (Kannan Krishnan and Melvin E. Andersen).
Index.
Erscheint lt. Verlag | 1.4.2010 |
---|---|
Sprache | englisch |
Themenwelt | Medizin / Pharmazie ► Gesundheitsfachberufe |
Studium ► 2. Studienabschnitt (Klinik) ► Pharmakologie / Toxikologie | |
Naturwissenschaften ► Chemie | |
Technik | |
Schlagworte | Chemie • Chemistry • Drug Discovery & Development • Toxicology • Toxikologie • Wirkstoffforschung u. -entwicklung |
ISBN-10 | 0-470-68670-7 / 0470686707 |
ISBN-13 | 978-0-470-68670-6 / 9780470686706 |
Haben Sie eine Frage zum Produkt? |
Größe: 11,4 MB
Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich