Literature DB >> 31778130

Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method.

Neslihan Avcu1, Cüneyt Güzeliş2.   

Abstract

Most of the biological systems including gene regulatory networks can be described well by ordinary differential equation models with rational non-linearities. These models are derived either based on the reaction kinetics or by curve fitting to experimental data. This study demonstrates the applicability of the root-locus-based bifurcation analysis method for studying the complex dynamics of such models. The effectiveness of the bifurcation analysis in determining the exact parameter regions in each of which the system shows a certain dynamical behaviour, such as bistability, oscillation, and asymptotically equilibrium dynamics is shown by considering two mostly studied gene regulatory networks, namely Gardner's genetic toggle switch and p53 gene network possessing two-phase (mono-stable/oscillation) dynamics.

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Year:  2019        PMID: 31778130      PMCID: PMC8687312          DOI: 10.1049/iet-syb.2019.0043

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  21 in total

1.  Construction of a genetic toggle switch in Escherichia coli.

Authors:  T S Gardner; C R Cantor; J J Collins
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  Dynamics of the p53-Mdm2 feedback loop in individual cells.

Authors:  Galit Lahav; Nitzan Rosenfeld; Alex Sigal; Naama Geva-Zatorsky; Arnold J Levine; Michael B Elowitz; Uri Alon
Journal:  Nat Genet       Date:  2004-01-18       Impact factor: 38.330

Review 3.  The p53-Mdm2 module and the ubiquitin system.

Authors:  Dan Michael; Moshe Oren
Journal:  Semin Cancer Biol       Date:  2003-02       Impact factor: 15.707

4.  Multistability in the lactose utilization network of Escherichia coli.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Han N Lim; Boris I Shraiman; Alexander Van Oudenaarden
Journal:  Nature       Date:  2004-02-19       Impact factor: 49.962

5.  The history of p53. A perfect example of the drawbacks of scientific paradigms.

Authors:  Thierry Soussi
Journal:  EMBO Rep       Date:  2010-10-08       Impact factor: 8.807

6.  Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks.

Authors:  Neslihan Avcu; Nihal Pekergin; Ferhan Pekergin; Cuneyt Guzelis
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2017-04-27       Impact factor: 3.710

7.  Two-phase dynamics of p53 in the DNA damage response.

Authors:  Xiao-Peng Zhang; Feng Liu; Wei Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-16       Impact factor: 11.205

8.  Determining the bistability parameter ranges of artificially induced lac operon using the root locus method.

Authors:  N Avcu; H Alyürük; G K Demir; F Pekergin; L Cavas; C Güzeliş
Journal:  Comput Biol Med       Date:  2015-03-24       Impact factor: 4.589

Review 9.  p53 in health and disease.

Authors:  Karen H Vousden; David P Lane
Journal:  Nat Rev Mol Cell Biol       Date:  2007-04       Impact factor: 94.444

10.  Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics.

Authors:  Gökhan Demirkıran; Güleser Kalaycı Demir; Cüneyt Güzeliş
Journal:  IET Syst Biol       Date:  2018-08       Impact factor: 1.615

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  1 in total

Review 1.  Multistability in Macrophage Activation Pathways and Metabolic Implications.

Authors:  Carsten Geiß; Elvira Salas; Jose Guevara-Coto; Anne Régnier-Vigouroux; Rodrigo A Mora-Rodríguez
Journal:  Cells       Date:  2022-01-25       Impact factor: 6.600

  1 in total

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