Literature DB >> 24244061

Two classes of ODE models with switch-like behavior.

Winfried Just1, Mason Korb, Ben Elbert, Todd Young.   

Abstract

In cases where the same real-world system can be modeled both by an ODE system ⅅ and a Boolean system 𝔹, it is of interest to identify conditions under which the two systems will be consistent, that is, will make qualitatively equivalent predictions. In this note we introduce two broad classes of relatively simple models that provide a convenient framework for studying such questions. In contrast to the widely known class of Glass networks, the right-hand sides of our ODEs are Lipschitz-continuous. We prove that if 𝔹 has certain structures, consistency between ⅅ and 𝔹 is implied by sufficient separation of time scales in one class of our models. Namely, if the trajectories of 𝔹 are "one-stepping" then we prove a strong form of consistency and if 𝔹 has a certain monotonicity property then there is a weaker consistency between ⅅ and 𝔹. These results appear to point to more general structure properties that favor consistency between ODE and Boolean models.

Entities:  

Keywords:  Boolean approximation of flow; Boolean system; comparing dynamical systems models; consistency between models

Year:  2013        PMID: 24244061      PMCID: PMC3825125          DOI: 10.1016/j.physd.2013.08.008

Source DB:  PubMed          Journal:  Physica D        ISSN: 0167-2789            Impact factor:   2.300


  6 in total

1.  Classification of biological networks by their qualitative dynamics.

Authors:  L Glass
Journal:  J Theor Biol       Date:  1975-10       Impact factor: 2.691

2.  Comparing different ODE modelling approaches for gene regulatory networks.

Authors:  A Polynikis; S J Hogan; M di Bernardo
Journal:  J Theor Biol       Date:  2009-08-06       Impact factor: 2.691

3.  Reducing Neuronal Networks to Discrete Dynamics.

Authors:  David Terman; Sungwoo Ahn; Xueying Wang; Winfried Just
Journal:  Physica D       Date:  2008-03       Impact factor: 2.300

4.  Boolean versus continuous dynamics on simple two-gene modules.

Authors:  Eva Gehrmann; Barbara Drossel
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-10-29

5.  The logical analysis of continuous, non-linear biochemical control networks.

Authors:  L Glass; S A Kauffman
Journal:  J Theor Biol       Date:  1973-04       Impact factor: 2.691

6.  Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling.

Authors:  Dominik M Wittmann; Jan Krumsiek; Julio Saez-Rodriguez; Douglas A Lauffenburger; Steffen Klamt; Fabian J Theis
Journal:  BMC Syst Biol       Date:  2009-09-28
  6 in total

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