Computational Toxicology: Methods and Applications for Risk Assessment [NOOK Book]

Overview

Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, ...

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Computational Toxicology: Methods and Applications for Risk Assessment

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Overview

Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided in this book are based on cutting-edge technologies and set out to stimulate the further development of this promising field to offer rapid, better and more cost-effective answers to major public health concerns.



  • Authored by leading international researchers engaged in cutting-edge applications of computational methods for translating complex toxicological data sets into useful risk assessment information
  • Incorporates real-world examples of how computational toxicological methods have been applied to advance the science of risk assessment
  • Provides the framework necessary for new technologies and fosters common vocabularies and principles upon which the effects of new chemical entities should be compared
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Editorial Reviews

From the Publisher
"Computational Toxicology is big and it is clever!...The book is easy to read with a wealth of easy to follow figures and an abundance of references…it offers readers a good perspective of what is currently achievable with computational toxicology and what is on the horizon. This book certainly has a place in most libraries."—btsNews, June 2014 "This collection reviews the state of the science in computer models for assessing human risk from chemical exposure and identifies specific applications that have enhanced the response to a defined risk assessment challenge…Practical translation of computational methods for risk assessment, computational translation and integration of test data to meet risk assessment goals, and computational translation of data from nonmammalian species… are also discussed."—ProtoView.com, February 2014 "ICF International experts authored this essential reference on the translation of computational toxicology data into information that can be used for more informed risk-assessment decision making. The book provides an updated summary of the state-of-the-art science in the field of computational toxicology methods and offers examples of applications to risk assessment."—ICF International online, 2013 "This collection reviews the state of the science in computer models for assessing human risk from chemical exposure and identifies specific applications that have enhanced the response to a defined risk assessment challenge. The 11 contributions describe physiologically based pharmacokinetic…models for simulating dose metrics in sensitive subpopulations, a dynamic systems model of rat liver homeostasis, the quantitative structure-activity relationship… tool for simulating necessary endpoints, and omics biomarker discovery."—Reference & Research Book News, December 2013 “The new book on Computational Toxicology edited by Dr. Bruce Fowler is a timely publication. It presents, in a well-organized and concise manner, a collection of excellent chapters on the methods and practical applications of computational toxicology. This is a very useful reference volume, but can be read cover-to-cover by those of us who want a general and current understanding of computational toxicology.”—James C. Lamb, IV, Ph.D, DABT, ATS Principal Scientists and Center Director Center for Toxicology and Mechanistic Biology Exponent
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Product Details

  • ISBN-13: 9780123965080
  • Publisher: Elsevier Science
  • Publication date: 6/4/2013
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 274
  • File size: 4 MB

Meet the Author

Dr. Bruce A. Fowler Ph.D., A.T.S is currently a consultant and an Adjunct Professor at Emory University in Atlanta, Georgia, and a Presidents Professor of Biomedical Research at the University of Alaska- Fairbanks. He has previously held positions as a Senior Fellow/Expert Consultant at ICF International, Associate Director for Science in the Division of Toxicology and Environmental Medicine at ATSDR, Director of the System-wide Program in Toxicology at the University of Maryland and Senior Scientist at the NIEHS. He has been previously selected as a Fellow of the Japanese Society for the Promotion of Science (JSPS), Fulbright Scholar and Swedish Medical Research Council Visiting Professor at the Karolinska Institute in Stockholm Sweden. He has chaired and served on a number of national / international committees in the area of metal toxicology including those of the National Academies of Science, WHO, IARC, National Institutes of Health, and USEPA. Dr. Fowler is the author of over 260 research papers and book chapters dealing with molecular mechanisms of metal toxicity and molecular biomarkers for early detection of metal-induced cell injury. He has been the editor or co-editor of 7 books or monographs on metal toxicology, mechanisms of chemical - induced cell injury and computational toxicology. His current research is focused on computational toxicology and the application of molecular biomarkers for risk assessments of chemical mixtures involving metals, particularly in relation to binary semiconductor materials such as gallium arsenide, indium arsenide as well as lead, cadmium, and arsenic mixtures. He has received a number of awards for his research including a Society of Toxicology Colgate-Palmolive Visiting Professorship in In Vitro Toxicology to the University of Washington and CDC National Center for Environmental Health/ATSDR awards including the Honor Award for Excellence in Quantitative Sciences- Cadmium PbPK Modeling Group Award, NCEH/ATSDR Honor Award for Excellence in Emergency Response Deepwater Horizon Oil Spill Response Team (Domestic) Group Award. As a member of the elemental impurities panel, Dr. Fowler has also received the 2014 USP Award for an Innovative Response to Public Health Challenges (Group Award). He serves on the editorial boards of a number of scientific journals in toxicology and is currently an Associate Editor of Environmental Health Perspectives and Toxicology and Applied Pharmacology.
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Table of Contents

FOREWORD 
1. INTRODUCTION
2. PBPK, QSAR and TOXICITY PATHWAYS: CHEMICAL SCREENING  AND PRIORITZATION TOOLS
3. COMPUTATIONAL RISK ASSESSMENT OF UNTESTED HAZARDOUS CHEMICAL AGENTS RELEASTED IN THE WATER ENVIRONMENT
4. RISK ASSESSMENT OF CHEMICAL MIXTURES
5. MODELING SENSITIVE SUB-POPULATIONS FOR RISK ASSESSMENT
6. COMPUTATIONAL METHODS FOR TOXICOGENOMIC ANALYSES FOR RISK ASSESSMENT
7. INTEGRATED SYSTEMS BIOLOGY APPROACHES TO PREDICTING DRUG-INDUCED LIVER TOXICITY
8. COMPUTATIONAL TRANSLATION AND INTEGRATION OF TEST DATA TO MEET RISK ASSESSEMENT GOALS
9. COMPUTATIONAL TRANSLATION OF DATA FROM NON-MAMMALIAN SPECIES TO MEET REACH INFORMATIONAL STRATEGIES
10. DEVLOPMENT OF IN SILICO TISSUE MODELS FOR RISK ASSESSMENT
11. EXAMPLES OF SIMULATIONS WITH A NEWLY DEVELOPED GENERIC  PBTK –MODEL FOR INCORPORATING HUMAN BIOMONITORING  DATA TO MEET REACH GUIDELINES
12. USE OF PUBLIC DATA SETS for RISK ASSESSMENT 
13. COMPUTATIONAL TOXICOLOGY AND APPLICATIONS FOR RISK ASSESSMENTS OF PHARMACEUTICALS
14. DECISION FOREST: A NOVEL PATTERN RECOGNITION METHOD FOR IN SILICO RISK ASSESSMENT
15. TRANSLATION OF COMPUTATIONAL MODEL RESULTS
16. FUTURE RESEARCH NEEDS
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