Evidence map›Paper›PMID 31778130›Full record

ArticleIET systems biology2019

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

Neslihan Avcu, Cüneyt Güzeliş

Abstract read
In one paragraph

Article in IET systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Neslihan AvcuDepartment of Electrical-Electronics Engineering, Dokuz Eylül University, Buca, Izmir, 35390, Turkey. neslihan.avcu@deu.edu.tr.
Cüneyt GüzelişDepartment of Electrical-Electronics Engineering, Yaşar University, Bornova, Izmir, 35100, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, BiologicalGene Regulatory NetworksSystems BiologyTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID31778130
PMCPMC8687312

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.