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20th International Conference on Advanced Information Networking and Applications - Volume 2 (AINA'06)
Parameters Estimation by Differential Evolutionary Algorithms for Simulation of metabolic pathways in Escherichia coli
Vienna, Austria
April 18-April 20
ISBN: 0-7695-2466-4
Christophe Chassagnole, UMR INSA/CNRS 5504, Toulouse , France
Andrei Doncescu, Architecture of Systems CNRS UPR8001,Toulouse,France
Laurent Manyri, Architecture of Systems CNRS UPR8001,Toulouse,France
Laurence T. Yang, St. Francis Xavier University Antigonish, NS, B2G 2W5, Canada
To analyze a biological system it is necessary to find out new mathematical models allowing to explain the evolution of the system in a dynamic context or to dread doing of a simple manner the complex situations where the human experience overtakes the mathematical reasoning. Computers have been used since the 1940 to simulate the kinetics of Biochemical reactions. Using a pathway structure and a kinetic scheme, the time of reaction and the admissible steady states can be computed. The majority of kinetic models are described by coupled differential equations and simulators implement the appropriate methods to solve these systems. Our goal is to analyze, to understand and to modeling these systems of reactions and the mechanisms that govern them, so as to better apprehend the behavior of cells.
Citation:
Christophe Chassagnole, Andrei Doncescu, Laurent Manyri, Laurence T. Yang, "Parameters Estimation by Differential Evolutionary Algorithms for Simulation of metabolic pathways in Escherichia coli," aina, vol. 2, pp.593-598, 20th International Conference on Advanced Information Networking and Applications - Volume 2 (AINA'06), 2006
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