Model reduction in bio-chemical reaction networks with Michaelis-Menten kinetics

Research output: Conference contribution

5 Citations (Scopus)

Abstract

In this paper, a model reduction procedure is proposed for the simplification of biochemical reaction network models. The approach is capable of reducing ODE models where the right hand side of the equations contains polynomial and/or rational function terms. The method is based on a finite number of mixed integer quadratic programming (MIQP) steps where the objective function effectively measures the fit between the time functions of the selected concentrations of the original and the reduced models, and the integer variables keep track of the presence of individual reactions. The procedure also contains the re-estimation of rate coefficients in the reduced model to minimize the defined model error. Two examples taken from the literature illustrate the operation of the method.

Original languageEnglish
Title of host publication2013 European Control Conference, ECC 2013
Pages4478-4483
Number of pages6
Publication statusPublished - dec. 1 2013
Event2013 12th European Control Conference, ECC 2013 - Zurich, Switzerland
Duration: júl. 17 2013júl. 19 2013

Publication series

Name2013 European Control Conference, ECC 2013

Other

Other2013 12th European Control Conference, ECC 2013
CountrySwitzerland
CityZurich
Period7/17/137/19/13

    Fingerprint

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Hangos, K. M., Gabor, A., & Szederkenyi, G. (2013). Model reduction in bio-chemical reaction networks with Michaelis-Menten kinetics. In 2013 European Control Conference, ECC 2013 (pp. 4478-4483). [6669424] (2013 European Control Conference, ECC 2013).