Key Features

  • Logical information flow aids understanding of basic building blocks of life through disease phenotypes
  • Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns
  • Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation
  • Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.


Graduate students and researchers in Bioinformatics, Biocomputing, Theoretical Biology, Biochemistry/Biophysics, and Cell Biology.

Table of Contents

  • Preface
  • Chapter 1. Introducing Computational Systems Biology
    • 1 Prologue
    • 2 Overview of the content
    • 3 Outlook
    • References
  • Chapter 2. Structural Systems Biology: Modeling Interactions and Networks for Systems Studies
    • Abstract
    • Acknowledgments
    • 1 Introduction
    • 2 A brief history of structural bioinformatics
    • 3 Structural analysis of interaction data
    • 4 Other interaction types
    • 5 Systems biology applications
    • 6 New datasets-specific protein sites
    • 7 Current and future needs
    • 8 Concluding remarks
    • References
  • Chapter 3. Understanding Principles of the Dynamic Biochemical Networks of Life Through Systems Biology
    • Abstract
    • Acknowledgments
    • 1 Principles based on topology of the genome-wide metabolic network: limited numbers of possible flux patterns
    • 2 Principles based on topology of the genome-wide metabolic network: toward personalized medicine
    • 3 Industrially relevant applications of topology and objective-based modeling
    • 4 Applications of topology and objective-based modeling to cancer research and drug discovery
    • 5 Principles of control
    • 6 Principles of regulation
    • 7 Regulation versus control
    • 8 Robustness and fragility and application to the cell cycle
    • 9 Perfect adaptation and integral control in metabolism
    • References
  • Chapter 4. Biological Foundations of Signal Transduction, Systems Biology and Aberrations in Disease
    • Abstract
    • 1 Introduction
    • 2 Concepts in signal transduction
    • 3 Mathematical modeling of signaling pathways
    • 4 Conclusion
    • References
  • Chapter 5. Complexities in Quantitative Systems Analysis of Signaling Networks
    • Abstract
    • 1 Introduction
    • 2 Requirements for a quantitativ


No. of pages:
© 2014
Academic Press
eBook ISBN:
Print ISBN:

About the editors

Andres Kriete

Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research

Affiliations and Expertise

Drexel University, Philadelphia, PA and Coriell Institute for Medical Research, Camden, NJ, USA

Roland Eils

Professor of Bioinformatics at the University of Heidelberg and Director of the Division of Theoretical Bioinformatics at the German Cancer Research Center (DKFZ) in Heidelberg

Affiliations and Expertise

Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, and Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, Germany


"…revised and updated to include the latest advances in cancer, aging, and development modeling research. The first chapter introduces the field and reviews the content to follow, while the ensuing six chapters lay the foundations of modeling networks, systems analysis, biochemistry, and signal transduction underlying the systems approach,…", April 2014