Computational Modeling of Signaling Networks

  • Xuedong Liu
  • Meredith D. Betterton

Part of the Methods in Molecular Biology book series (MIMB, volume 880)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Dagmar Iber, Georgios Fengos
    Pages 1-22
  3. Florian Geier, Georgios Fengos, Federico Felizzi, Dagmar Iber
    Pages 23-39
  4. Graham A. Anderson, Xuedong Liu, James E. Ferrell Jr.
    Pages 53-67
  5. Edward C. Stites, Kodi S. Ravichandran
    Pages 69-85
  6. Samuel Bandara, Tobias Meyer
    Pages 109-118
  7. Thomas Maiwald, Oliver Eberhardt, Julie Blumberg
    Pages 119-138
  8. John A. P. Sekar, James R. Faeder
    Pages 139-218
  9. Hao Song, Lingchong You
    Pages 243-254
  10. Assieh Saadatpour, Réka Albert
    Pages 255-272
  11. Aleksandra M. Walczak, Andrew Mugler, Chris H. Wiggins
    Pages 273-322
  12. Back Matter
    Pages 323-327

About this book


Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific.  In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.



Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses  and how those responses impact biology and medicine.


BioNetGen Cells RasGTP Signaling networks Systems of ODEs mass-action kinetics micro RNAs model formulation top-down approaches

Editors and affiliations

  • Xuedong Liu
    • 1
  • Meredith D. Betterton
    • 2
  1. 1.Dept. Chemistry & BiochemistryUniversity of Colorado, BoulderBoulderUSA
  2. 2.Dept. PhysicsUniversity of Colorado, BoulderBoulderUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Humana Press, Totowa, NJ
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-61779-832-0
  • Online ISBN 978-1-61779-833-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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