Computational Systems Biology

2nd Edition

From Molecular Mechanisms to Disease

Print ISBN: 9780124059269
eBook ISBN: 9780124059382
Imprint: Academic Press
Published Date: 12th December 2013
Page Count: 548
118.00 + applicable tax
94.99 + applicable tax
149.95 + applicable tax
Compatible Not compatible
VitalSource PC, Mac, iPhone & iPad Amazon Kindle eReader
ePub & PDF Apple & PC desktop. Mobile devices (Apple & Android) Amazon Kindle eReader
Mobi Amazon Kindle eReader Anything else

Institutional Access


This comprehensively revised new edition of the classic work discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling.

- New concepts and methods for abstracting, compiling, simulating and analyzing computational models.
- Information storage, mining and knowledge extraction
- Reverse engineering of gene and metabolomic networks
- New methods and computational aspects
- Modeling and simulation of multicellular systems in health and disease.
- Selected contributions include bottom-up strategies that predict emergent biological properties, top-down concepts that elucidate form and function, as well as advanced applications including clinical, translational systems biology.

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:
© Academic Press 2014
Academic Press
eBook ISBN:
Hardcover ISBN:


"…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