Heuristic Parameter Estimation Methods for S-System Models of Biochemical Networks
نویسندگان
چکیده
Advanced NMR and mass spectroscopy permit simultaneous measurements of time-course in-vivo metabolite concentrations within an organism. These metabolic profiles are loaded with structural and kinetic information regarding the biochemical networks from which they were drawn. Extracting these information will require systematic application of both experimental and computational techniques. S-systems are non-linear dynamical models based on the power-law formalism which provide a general framework for the simulation of integrated biochemical systems exhibiting complex dynamics such those present in genetic circuits, immune and metabolic networks. In this paper we describe complementary heuristic methods for recovering the parameters of S-systems from time-course biochemical data.
منابع مشابه
Parameter estimation using Simulated Annealing for S-system models of biochemical networks
MOTIVATION High-throughput technologies now allow the acquisition of biological data, such as comprehensive biochemical time-courses at unprecedented rates. These temporal profiles carry topological and kinetic information regarding the biochemical network from which they were drawn. Retrieving this information will require systematic application of both experimental and computational methods. ...
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