Reduction of metabolic models by polygons optimization method applied to Bioethanol production with co-substrates

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Robles Rodriguez, Carlos | Bideaux, Carine | Gaucel, Sebastien | Laroche, Béatrice | Gorret, Nathalie | Aceves-Lara, Cesar Arturo

Edité par CCSD ; ELSEVIER SCIENCE BV -

In literature metabolic stoichiometric matrix reduction is based on convex analysis by choosing the greatest triangle. This paper proposes a new methodology for the reduction of metabolic networks based on the concept of convex hull by optimization methods. Different polygons are tested to conjointly minimize the squared error (convex hull - experimental data) and maximize the convex hull area in order to reduce the set of metabolic reactions involved in the model. The advantage of this method relies on its ability to select different geometries in a simple manner with the knowledge of the elementary modes. A cybernetic model implementing the proposed optimization method is tested with data for bioethanol production by Saccharomyces cerevisiae growing on four substrates. Parameter estimation and model validation allow comparing the performance of the chosen polygons for reduction of metabolic pathways.

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