Stability analysis of an autocatalytic protein model

A self-regulatory genetic circuit, where a protein acts as a positive regulator of its own production, is known to be the simplest biological network with a positive feedback loop. Although at least three components—DNA, RNA, and the protein—are required to form such a circuit, stability analysis of...

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Main Author: Julian Lee
Format: Article
Language:English
Published: AIP Publishing LLC 2016-05-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4950702
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spelling doaj-8b940004a6514b9a8a4745aea65fdc732020-11-24T22:39:26ZengAIP Publishing LLCAIP Advances2158-32262016-05-0165055013055013-1610.1063/1.4950702041605ADVStability analysis of an autocatalytic protein modelJulian Lee0Department of Bioinformatics and Life Science, Soongsil University, Seoul, KoreaA self-regulatory genetic circuit, where a protein acts as a positive regulator of its own production, is known to be the simplest biological network with a positive feedback loop. Although at least three components—DNA, RNA, and the protein—are required to form such a circuit, stability analysis of the fixed points of this self-regulatory circuit has been performed only after reducing the system to a two-component system, either by assuming a fast equilibration of the DNA component or by removing the RNA component. Here, stability of the fixed points of the three-component positive feedback loop is analyzed by obtaining eigenvalues of the full three-dimensional Hessian matrix. In addition to rigorously identifying the stable fixed points and saddle points, detailed information about the system can be obtained, such as the existence of complex eigenvalues near a fixed point.http://dx.doi.org/10.1063/1.4950702
collection DOAJ
language English
format Article
sources DOAJ
author Julian Lee
spellingShingle Julian Lee
Stability analysis of an autocatalytic protein model
AIP Advances
author_facet Julian Lee
author_sort Julian Lee
title Stability analysis of an autocatalytic protein model
title_short Stability analysis of an autocatalytic protein model
title_full Stability analysis of an autocatalytic protein model
title_fullStr Stability analysis of an autocatalytic protein model
title_full_unstemmed Stability analysis of an autocatalytic protein model
title_sort stability analysis of an autocatalytic protein model
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2016-05-01
description A self-regulatory genetic circuit, where a protein acts as a positive regulator of its own production, is known to be the simplest biological network with a positive feedback loop. Although at least three components—DNA, RNA, and the protein—are required to form such a circuit, stability analysis of the fixed points of this self-regulatory circuit has been performed only after reducing the system to a two-component system, either by assuming a fast equilibration of the DNA component or by removing the RNA component. Here, stability of the fixed points of the three-component positive feedback loop is analyzed by obtaining eigenvalues of the full three-dimensional Hessian matrix. In addition to rigorously identifying the stable fixed points and saddle points, detailed information about the system can be obtained, such as the existence of complex eigenvalues near a fixed point.
url http://dx.doi.org/10.1063/1.4950702
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