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

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Date

2019

Authors

Neslihan Avcu
Cüneyt Güzeliş

Journal Title

Journal ISSN

Volume Title

Publisher

Institution of Engineering and Technology kvukmirovic@theiet.org

Open Access Color

GOLD

Green Open Access

Yes

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No
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Average
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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. © 2019 Elsevier B.V. All rights reserved.

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Keywords

Tumor Suppressor Protein P53, Biological Systems, Curve Fitting, Dynamics, Genes, Ordinary Differential Equations, Reaction Kinetics, Root Loci, Bifurcation Analysis, Biological Networks, Dynamical Behaviours, Equilibrium Dynamics, Gene Regulatory Networks, Genetic Toggle Switches, Ordinary Differential Equation Models, Oscillatory Dynamics, Bifurcation (mathematics), Protein P53, Biological Model, Gene Regulatory Network, Metabolism, Systems Biology, Gene Regulatory Networks, Models Biological, Systems Biology, Tumor Suppressor Protein P53, Biological systems, Curve fitting, Dynamics, Genes, Ordinary differential equations, Reaction kinetics, Root loci, Bifurcation analysis, Biological networks, Dynamical behaviours, Equilibrium dynamics, Gene regulatory networks, Genetic toggle switches, Ordinary differential equation models, Oscillatory dynamics, Bifurcation (mathematics), protein p53, biological model, gene regulatory network, metabolism, systems biology, Gene Regulatory Networks, Models Biological, Systems Biology, Tumor Suppressor Protein p53, 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

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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