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

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Date

2019

Authors

Neslihan Avcu
Cuneyt Guzelis

Journal Title

Journal ISSN

Volume Title

Publisher

INST ENGINEERING TECHNOLOGY-IET

Open Access Color

GOLD

Green Open Access

Yes

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No
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Average
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Top 10%

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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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Keywords

oscillations, curve fitting, differential equations, bifurcation, genetics, nonlinear dynamical systems, nonlinearities, reaction kinetics, root-locus-based bifurcation analysis method, complex dynamics, exact parameter regions, dynamical behaviour, equilibrium dynamics, studied gene regulatory networks, p53 gene network, bistable dynamics, oscillatory dynamics, biological networks, root-locus method, biological systems, ordinary differential equation models, 1ST HARMONIC-ANALYSIS, 2-PHASE DYNAMICS, CONTROL-SYSTEMS, P53, MULTISTABILITY, Exact Parameter Regions, P53 Gene Network, Oscillatory Dynamics, Ordinary Differential Equation Models, Root-Locus Method, Bistable Dynamics, Equilibrium Dynamics, Biological Systems, Nonlinear Dynamical Systems, Differential Equations, Biological Networks, Bifurcation, Genetics, Reaction Kinetics, Dynamical Behaviour, Studied Gene Regulatory Networks, Nonlinearities, Root-Locus-Based Bifurcation Analysis Method, Curve Fitting, Oscillations, Complex Dynamics, Systems Biology, Gene Regulatory Networks, Tumor Suppressor Protein p53, Models, Biological

Fields of Science

0301 basic medicine, 0303 health sciences, 03 medical and health sciences

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OpenCitations Citation Count
8

Source

IET Systems Biology

Volume

13

Issue

6

Start Page

333

End Page

345
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CrossRef : 8

Scopus : 7

PubMed : 2

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Mendeley Readers : 8

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