Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics

The Quasi-Steady-State Approximation (QSSA) theorem is considered as a basic approach for reduction of dimensionality of a dynamical model of microRNA target regulation. On the basis of previously determined parameters, seven ordinary differential equations of the model are written in a form appropr...

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Main Authors: Nikolova E., Herwig R., Petrov V.
Format: Article
Language:English
Published: Academic Publishing House 2009-12-01
Series:Bioautomation
Subjects:
Online Access:http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_3.01.pdf
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author Nikolova E.
Herwig R.
Petrov V.
author_facet Nikolova E.
Herwig R.
Petrov V.
author_sort Nikolova E.
collection DOAJ
description The Quasi-Steady-State Approximation (QSSA) theorem is considered as a basic approach for reduction of dimensionality of a dynamical model of microRNA target regulation. On the basis of previously determined parameters, seven ordinary differential equations of the model are written in a form appropriate to evaluate their terms for further reduction. In accordance with the terminology of the QSSA theorem, it is established that five of the system components are fast varying such that the corresponding kinetic equations form an attached system. The other two variables are slow varying and their kinetic equations form a degenerate system.
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spelling doaj.art-33ffa07b70734f76a30070a9a419d8222022-12-22T00:56:14ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2009-12-01134127134Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model DynamicsNikolova E.Herwig R.Petrov V.The Quasi-Steady-State Approximation (QSSA) theorem is considered as a basic approach for reduction of dimensionality of a dynamical model of microRNA target regulation. On the basis of previously determined parameters, seven ordinary differential equations of the model are written in a form appropriate to evaluate their terms for further reduction. In accordance with the terminology of the QSSA theorem, it is established that five of the system components are fast varying such that the corresponding kinetic equations form an attached system. The other two variables are slow varying and their kinetic equations form a degenerate system.http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_3.01.pdfOrdinary differential equationsQSSA theoremReduction of dimensionalityMicroRNA target regulation
spellingShingle Nikolova E.
Herwig R.
Petrov V.
Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
Bioautomation
Ordinary differential equations
QSSA theorem
Reduction of dimensionality
MicroRNA target regulation
title Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
title_full Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
title_fullStr Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
title_full_unstemmed Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
title_short Quasi-Stationary Approximation of a Dynamical Model of microRNA Target Regulation. Part I. Establishment of Time Hierarchy in the Model Dynamics
title_sort quasi stationary approximation of a dynamical model of microrna target regulation part i establishment of time hierarchy in the model dynamics
topic Ordinary differential equations
QSSA theorem
Reduction of dimensionality
MicroRNA target regulation
url http://www.clbme.bas.bg/bioautomation/2009/vol_13.4/files/13.4_3.01.pdf
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