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. With a free companion website featuring an image bank from the book and web links for further research and reading, this authoritative reference is your complete guide to computational toxicology methods and applications to risk assessment. Authored by leading international researchers engaged in cutting-edge applications of computational methods for translating complex toxicological data sets into useful risk assessment informationIncorporates 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 INDICE: FOREWORD 1. INTRODUCTION2. PBPK, QSAR and TOXICITY PATHWAYS: CHEMICAL SCREENING  AND PRIORITZATION TOOLS3. COMPUTATIONAL RISK ASSESSMENT OF UNTESTED HAZARDOUS CHEMICAL AGENTS RELEASTED IN THE WATER ENVIRONMENT4. RISK ASSESSMENT OF CHEMICAL MIXTURES5. MODELING SENSITIVE SUB-POPULATIONS FOR RISK ASSESSMENT6. COMPUTATIONAL METHODS FOR TOXICOGENOMIC ANALYSES FOR RISK ASSESSMENT7. INTEGRATED SYSTEMS BIOLOGY APPROACHES TO PREDICTING DRUG-INDUCED LIVER TOXICITY8. COMPUTATIONAL TRANSLATION AND INTEGRATION OF TEST DATA TO MEET RISK ASSESSEMENT GOALS9. COMPUTATIONAL TRANSLATION OF DATA FROM NON-MAMMALIAN SPECIES TO MEET REACH INFORMATIONAL STRATEGIES10. DEVLOPMENT OF IN SILICO TISSUE MODELS FOR RISK ASSESSMENT11. EXAMPLES OF SIMULATIONS WITH A NEWLY DEVELOPED GENERIC  PBTK -MODEL FOR INCORPORATING HUMAN BIOMONITORING  DATA TO MEET REACH GUIDELINES12. USE OF PUBLIC DATA SETS for RISK ASSESSMENT  13. COMPUTATIONAL TOXICOLOGY AND APPLICATIONS FOR RISK ASSESSMENTS OF PHARMACEUTICALS14. DECISION FOREST: A NOVEL PATTERN RECOGNITION METHOD FOR IN SILICO RISK ASSESSMENT15. TRANSLATION OF COMPUTATIONAL MODEL RESULTS16. FUTURE RESEARCH NEEDS

• ISBN: 978-0-12-396461-8
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 274
• Fecha Publicación: 31/07/2013
• Nº Volúmenes: 1
• Idioma: Inglés