Computational Toxicology book cover

Computational Toxicology

Methods and Applications for Risk Assessment

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.

Audience

Toxicologists, pharmacologists, pharmaceutical scientists and biochemists in academic, regulatory and industry (pharmaceutical, chemical, environmental and biotechnology) settings.

Hardbound, 274 Pages

Published: June 2013

Imprint: Academic Press

ISBN: 978-0-12-396461-8

Reviews

  • "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


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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