A central issue in systems biology is the study of efficient methods inferring fluxes of biological reactions by starting from experimental data. Among the different techniques proposed in the last years, the theory of Metabolic P systems, which is based on the Log-Gain principle, proved to be helpful for deducing biological fluxes from temporal series of observed dynamics. According to this approach, the algebraic systems provided by the Log-Gain principle determine the reaction fluxes underlying a system dynamics when initial fluxes are known. Here a heuristic algorithm is proposed for estimating the initial fluxes, that is tested in two case studies.

An algorithm for initial fluxes of metabolic P systems

FRANCO, Giuditta;MANCA, Vincenzo
2009

Abstract

A central issue in systems biology is the study of efficient methods inferring fluxes of biological reactions by starting from experimental data. Among the different techniques proposed in the last years, the theory of Metabolic P systems, which is based on the Log-Gain principle, proved to be helpful for deducing biological fluxes from temporal series of observed dynamics. According to this approach, the algebraic systems provided by the Log-Gain principle determine the reaction fluxes underlying a system dynamics when initial fluxes are known. Here a heuristic algorithm is proposed for estimating the initial fluxes, that is tested in two case studies.
Biological modeling; Metabolic P systems; Metabolic flux estimation; Heuristic algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/333383
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