A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profiles |
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| Authors: | Tomoya Kitayama Ayako Kinoshita Masahiro Sugimoto Yoichi Nakayama and Masaru Tomita |
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| Institution: | (1) Institute of Advanced Bioscience, Keio University, Fujisawa 252-8520, Japan;(2) Department of Bioinformatics, Mitsubishi Space Software Co. Ltd, 661-0001 Amagasaki, Hyogo, Japan;(3) Network Biology Research Centre, Articell Systems Corporation, Keio Fujisawa Innovation Village, 4489 Endo, 252-0816 Fujisawa, Japan |
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| Abstract: | Background In order to improve understanding of metabolic systems there have been attempts to construct S-system models from time courses.
Conventionally, non-linear curve-fitting algorithms have been used for modelling, because of the non-linear properties of
parameter estimation from time series. However, the huge iterative calculations required have hindered the development of
large-scale metabolic pathway models. To solve this problem we propose a novel method involving power-law modelling of metabolic
pathways from the Jacobian of the targeted system and the steady-state flux profiles by linearization of S-systems. |
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