Abstract:
We present a method for obtaining non-stiff nonlinear reduced-order models for metabolic networks, which exhibit dynamics in multiple time scales. The method is based on ...Show MoreMetadata
Abstract:
We present a method for obtaining non-stiff nonlinear reduced-order models for metabolic networks, which exhibit dynamics in multiple time scales. The method is based on the successive application of singular perturbation arguments, starting from the fastest time scale and proceeding to the slowest one. The method is successfully applied to a detailed model of central carbon metabolism in human erythrocytes
Date of Conference: 27-29 June 2005
Date Added to IEEE Xplore: 13 March 2006
Print ISBN:0-7803-8936-0