Literature DB >> 21230358

Boolean versus continuous dynamics on simple two-gene modules.

Eva Gehrmann1, Barbara Drossel.   

Abstract

We investigate the dynamical behavior of simple modules composed of two genes with two or three regulating connections. Continuous dynamics for mRNA and protein concentrations is compared to a Boolean model for gene activity. Using a generalized method, we study within a single framework different continuous models and different types of regulatory functions, and establish conditions under which the system can display stable oscillations. These conditions depend only on general features such as the ratio of the relevant time scales, the degree of cooperativity of the regulating interactions, and the logical structure of the interactions. Our results combine and generalize the findings of several disconnected previous studies.

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Year:  2010        PMID: 21230358     DOI: 10.1103/PhysRevE.82.046120

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  How to predict community responses to perturbations in the face of imperfect knowledge and network complexity.

Authors:  Helge Aufderheide; Lars Rudolf; Thilo Gross; Kevin D Lafferty
Journal:  Proc Biol Sci       Date:  2013-11-06       Impact factor: 5.349

2.  Boolean versus continuous dynamics in modules with two feedback loops.

Authors:  Eva Ackermann; Eva Marie Weiel; Torsten Pfaff; Barbara Drossel
Journal:  Eur Phys J E Soft Matter       Date:  2012-10-26       Impact factor: 1.890

Review 3.  Generalized Structural Kinetic Modeling: A Survey and Guide.

Authors:  Jana C Massing; Thilo Gross
Journal:  Front Mol Biosci       Date:  2022-04-29

4.  Two classes of ODE models with switch-like behavior.

Authors:  Winfried Just; Mason Korb; Ben Elbert; Todd Young
Journal:  Physica D       Date:  2013-12-01       Impact factor: 2.300

5.  Stationary distribution of self-organized states and biological information generation.

Authors:  Hyung Jun Woo
Journal:  Sci Rep       Date:  2013-11-25       Impact factor: 4.379

  5 in total

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