Title :
Stability analysis and reduction of gene transcription models
Author :
Belgacem, Ismail ; Gouze, Jean-Luc
Author_Institution :
INRIA, BIOCORE Project-Team, Sophia Antipolis, France
Abstract :
The aim of this paper is to analyze the dynamical behaviour of models of gene transcription in a cell, developed in [1], which are a detailed representation of transcription process from DNA to RNA with action of polymerase. Using monotone system theory and compartmental systems theory, we study several versions of these models. We use our results of global stability of the fast part of the full system to show that, under assumptions of time scales separation, it is possible to reduce the full models to much smaller ones.
Keywords :
DNA; RNA; cellular biophysics; enzymes; genetics; reduced order systems; stability; DNA; RNA; cell gene transcription; compartmental systems theory; gene transcription model reduction; model dynamical behaviour analysis; monotone system theory; polymerase action; stability analysis; time scale separation; transcription process; Biological system modeling; Equations; Mathematical model; Polymers; RNA; Stability analysis; Steady-state;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760289