Model-order reduction of biochemical reaction networks
Systems and Control
2012-12-12 v1 Software Engineering
Dynamical Systems
Chemical Physics
Molecular Networks
Abstract
In this paper we propose a model-order reduction method for chemical reaction networks governed by general enzyme kinetics, including the mass-action and Michaelis-Menten kinetics. The model-order reduction method is based on the Kron reduction of the weighted Laplacian matrix which describes the graph structure of complexes in the chemical reaction network. We apply our method to a yeast glycolysis model, where the simulation result shows that the transient behaviour of a number of key metabolites of the reduced-order model is in good agreement with those of the full-order model.
Keywords
Cite
@article{arxiv.1212.2438,
title = {Model-order reduction of biochemical reaction networks},
author = {Shodhan Rao and Arjan van der Schaft and Karen van Eunen and Barbara M. Bakker and Bayu Jayawardhana},
journal= {arXiv preprint arXiv:1212.2438},
year = {2012}
}
Comments
7 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1211.6643, arXiv:1110.6078