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Computational Systems Toxicology

  • Book
  • © 2015

Overview

Editors:
  1. Julia Hoeng

    1. Philip Morris International R&D, Neuchâtel, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  2. Manuel C. Peitsch

    1. Philip Morris International R&D, Neuchâtel, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Features state-of-the-art computational applications that are crucial for the study of systems toxicology
  • Includes approaches ranging from data management to mathematical modelling
  • Gathers key advice and practical information to support readers in their pursuit of advancing toxicological study

Part of the book series: Methods in Pharmacology and Toxicology (MIPT)

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Table of contents (16 protocols)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. The Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the Twenty-First Century

    • Edward Perkins, Natàlia Garcia-Reyero, Stephen Edwards, Clemens Wittwehr, Daniel Villeneuve, David Lyons et al.
    Pages 1-26

  3. Metabolic Pathway Databases: A Word of Caution

    • Miranda D. Stobbe
    Pages 27-63

  4. Causal Biological Network Database: A Comprehensive Platform of Causal Biological Network Models Focused on the Pulmonary and Vascular Systems

    • Marja Talikka, Stephanie Boue, Walter K. Schlage
    Pages 65-93

  5. Data Sources for Signature Discovery in Toxicology

    • Dragana Mitic Potkrajac, Branka Rakic, Gordana Apic, Robert B. Russell
    Pages 95-108

  6. Data Management and Processing in Toxicoinformatics: From Chemical Databases to Automatic Extraction of Unstructured Resources

    • Juliane Fluck, Marc Zimmermann
    Pages 109-143

  7. Using a Crowdsourcing Approach for Network Verification

    • Natalia Boukharov, Jennifer S. Park
    Pages 145-160

  8. Toxicological Assessment Via Gene Network Analysis

    • Simona Iacobacci, Francesco Gregoretti, Gennaro Oliva, Roman Polishchuk, Vincenzo Belcastro
    Pages 161-180

  9. Weaving Knowledge into Biological Pathways in a Collaborative Manner

    • Yukiko Matsuoka, Kazuhiro Fujita, Samik Ghosh, Hiroaki Kitano
    Pages 181-208

  10. Pathway Analysis and Machine Learning as Tools in Systems Toxicology

    • Adi Laurentiu Tarca
    Pages 209-222

  11. Quantifying the Biological Impact of Active Substances Using Causal Network Models

    • Alain Sewer, Florian Martin, Walter K. Schlage, Julia Hoeng, Manuel C. Peitsch
    Pages 223-256

  12. Analysis of Proteomic Data for Toxicological Applications

    • Bjoern Titz, Thomas Schneider, Ashraf Elamin, Florian Martin, Sophie Dijon, Nikolai V. Ivanov et al.
    Pages 257-284

  13. Xenobiotic Metabolism Activation as a Biomarker of Cigarette Smoke Exposure Response

    • Anita R. Iskandar
    Pages 285-315

  14. High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity

    • Paul Walker, Tim Smith, Kerry Frost, Sarah Kelly, Ignacio Gonzalez Suarez
    Pages 317-344

  15. 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, Julia Hoeng
    Pages 345-370

  16. Computational Data Integration in Toxicogenomics

    • Simona Constantinescu, Shana J. Sturla, Giancarlo Marra, Bernd Wollscheid, Niko Beerenwinkel
    Pages 371-392

  17. Aerosol Dosimetry Modeling Using Computational Fluid Dynamics

    • Markus Nordlund, Arkadiusz K. Kuczaj
    Pages 393-427

  18. Back Matter

    Pages 429-430
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Keywords

About this book

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.

Editors and Affiliations

  • Philip Morris International R&D, Neuchâtel, Switzerland

    Julia Hoeng, Manuel C. Peitsch

Bibliographic Information

  • Book Title: Computational Systems Toxicology

  • Editors: Julia Hoeng, Manuel C. Peitsch

  • Series Title: Methods in Pharmacology and Toxicology

  • DOI: https://doi.org/10.1007/978-1-4939-2778-4

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media New York 2015

  • Hardcover ISBN: 978-1-4939-2777-7Published: 14 September 2015

  • Softcover ISBN: 978-1-4939-5003-4Published: 29 October 2016

  • eBook ISBN: 978-1-4939-2778-4Published: 10 September 2015

  • Series ISSN: 1557-2153

  • Series E-ISSN: 1940-6053

  • Edition Number: 1

  • Number of Pages: X, 430

  • Number of Illustrations: 13 b/w illustrations, 96 illustrations in colour

  • Topics: Pharmacology/Toxicology, Systems Biology

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