Presentation 2001/1/26
Modeling Genetic Network by Differential Equations
Chen Luonan, Kazuyuki Aihara,
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Abstract(in English) This research aims to express genetic regulatory networks by functional differential equations or delay differential equations (DDE), and provide a systematic method to construct the genetic network from a set of temporal data and further analyse the nonlinear properties of the model in terms of local stability and bifurcation.We first use a simplified dynamic model of genetic regulation with autoregulatory feedback loop to analyse the circadian rhythm by using singular perturbation theory.Then, we propose a DDE model for the genetic regulatory network, which not only expresses concentrations of proteins and mRNAs in a nonlinear manner, but also takes time delays of transcription and translation into consideration of gene expression, and analyse the local stability and bifurcation so as to provide comprehensive information to understand about the gene expression patterns and the regulatory pathways.
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Keyword(in English) Genetic network / functional differential equation / stability / bifurcation / protein / mRNA
Paper # NLP2000-142
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Conference Information
Committee NLP
Conference Date 2001/1/26(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling Genetic Network by Differential Equations
Sub Title (in English)
Keyword(1) Genetic network
Keyword(2) functional differential equation
Keyword(3) stability
Keyword(4) bifurcation
Keyword(5) protein
Keyword(6) mRNA
1st Author's Name Chen Luonan
1st Author's Affiliation Osaka Sangyo University()
2nd Author's Name Kazuyuki Aihara
2nd Author's Affiliation The University of Tokyo
Date 2001/1/26
Paper # NLP2000-142
Volume (vol) vol.100
Number (no) 609
Page pp.pp.-
#Pages 8
Date of Issue