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• W1738653005 abstract "We consider a class of systems of differential equations with quadratic nonlinearities. This class describes important biochemical models. We show that systems of this class can realize any structurally stable dynamics. Given a low dimensional dynamics, we describe algorithms that allow to realize this dynamics by a large biochemical network. Some concrete biochemical examples are studied. Moreover, we show how a big system with random kinetic rates can simulate a number of low dimensional ones. The proposed method is applied on Calcium oscillations, extracellular signal-regulated kinase (ERK) signaling pathway and multistationary Mitogen-activated protein kinase cascade system (MAPK) models from biochemistry." @default.
• W1738653005 created "2016-06-24" @default.
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• W1738653005 date "2015-01-01" @default.
• W1738653005 modified "2023-09-25" @default.
• W1738653005 title "Algorithms to Study Large Metabolic Network Dynamics" @default.
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• W1738653005 doi "https://doi.org/10.1051/mmnp/201510507" @default.
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