Discrete dynamic modeling of signal transduction networks

Assieh Saadatpour, Réka Albert

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

Abstract

Newly available experimental data characterizing different processes involved in signaling pathways have provided the opportunity for network analysis and modeling of these interacting pathways. Current approaches in studying the dynamics of signaling networks fall into two major groups, namely, continuous and discrete models. The lack of kinetic information for biochemical interactions has limited the wide applicability of continuous models. To address this issue, discrete dynamic models, based on a qualitative description of a system’s variables, have been applied for the analysis of biological systems withmany unknown parameters. The purpose of this chapter is to give a detailed description of Booleanmodeling, the simplest type of discrete dynamic modeling, and the ways in which it can be applied to analyze the dynamics of signaling networks. This is followed by practical examples of a Boolean dynamic framework applied to the modeling of the abscisic acid signal transduction network in plants as well as theT-cell survival signaling network in humans.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages255-272
Number of pages18
DOIs
StatePublished - Jan 1 2012

Publication series

NameMethods in Molecular Biology
Volume880
ISSN (Print)1064-3745

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

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