Buch, Englisch, 274 Seiten, Format (B × H): 195 mm x 244 mm, Gewicht: 758 g
Buch, Englisch, 274 Seiten, Format (B × H): 195 mm x 244 mm, Gewicht: 758 g
ISBN: 978-0-12-396461-8
Verlag: Elsevier Science & Technology
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.
Zielgruppe
<p>Toxicologists, pharmacologists, pharmaceutical scientists and biochemists in academic, regulatory and industry (pharmaceutical, chemical, environmental and biotechnology) settings.</p>
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Toxikologie
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Pharmazie
Weitere Infos & Material
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
