Model-order reduction of biochemical reaction 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.
- Publication:
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arXiv e-prints
- Pub Date:
- December 2012
- DOI:
- 10.48550/arXiv.1212.2438
- arXiv:
- arXiv:1212.2438
- Bibcode:
- 2012arXiv1212.2438R
- Keywords:
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- Computer Science - Systems and Control;
- Computer Science - Software Engineering;
- Mathematics - Dynamical Systems;
- Physics - Chemical Physics;
- Quantitative Biology - Molecular Networks
- E-Print:
- 7 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1211.6643, arXiv:1110.6078