Buch, Englisch, 430 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 10649 g
Buch, Englisch, 430 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 10649 g
Reihe: Methods in Pharmacology and Toxicology
ISBN: 978-1-4939-2777-7
Verlag: Springer
This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment.
Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them.
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Weitere Infos & Material
1. The Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the 21st Century
Edward Perkins, Natàlia Garcia-Reyero, Stephen Edwards, Clemens Wittwehr, Daniel Villeneuve, David Lyons, and Gerald Ankley
2. Metabolic Pathway Databases: A Word of Caution
Miranda D. Stobbe
3. Causal Biological Network Database: A Comprehensive Platform of Causal Biological Network Models Focused on the Pulmonary and Vascular Systems
Marja Talikka, Stephanie Boue, and Walter K. Schlage
4. Data Sources for Signature Discovery in Toxicology
Dragana Mitic Potkrajac, Branka Rakic, Gordana Apic, and Robert B. Russell
5. Data Management and Processing in Toxicoinformatics: From Chemical Databases to Automatic Extraction of Unstructured Resources
Juliane Fluck and Marc Zimmermann
6. Using a Crowdsourcing Approach for Network Verification
Natalia Boukharov and Jennifer S. Park
7. Toxicological Assessment Via Gene Network Analysis
Simona Iacobacci, Francesco Gregoretti, Gennaro Oliva, Roman Polishchuk, and Vincenzo Belcastro
8. Weaving Knowledge into Biological Pathways in a Collaborative Manner
Yukiko Matsuoka, Kazuhiro Fujita, Samik Ghosh, and Hiroaki Kitano
9. Pathway Analysis and Machine Learning as Tools in Systems Toxicology
Adi Laurentiu Tarca
10. Quantifying the Biological Impact of Active Substances Using Causal Network Models
Alain Sewer, Florian Martin, Walter K. Schlage, Julia Hoeng, and Manuel C. Peitsch
11. Analysis of Proteomic Data for Toxicological Applications
Bjoern Titz, Thomas Schneider, Ashraf Elamin, Florian Martin, Sophie Dijon, Nikolai V. Ivanov, Julia Hoeng, and Manuel C. Peitsch
12. Xenobiotic Metabolism Activation as a Biomarker of Cigarette Smoke Exposure Response
Anita R. Iskandar
13. High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity
Paul Walker, Tim Smith, Kerry Frost, Sarah Kelly, and Ignacio Gonzalez Suarez
14. A Systems Toxicology Approach to Investigating the Cardiovascular Effects of Cigarette Smoke and Environmental Pollutants in ApoE-Deficient Mice
Héctor De León, Stephanie Boue, Manuel C. Peitsch, and Julia Hoeng
15. Computational Data Integration in Toxicogenomics
Simona Constantinescu, Shana J. Sturla, Giancarlo Marra, Bernd Wollscheid, and Niko Beerenwinkel
16. Aerosol Dosimetry Modeling Using Computational Fluid Dynamics
Markus Nordlund and Arkadiusz K. Kuczaj
