Complementary Approach for Thermodynamic Analysis of Metabolic Pathways

Wednesday, November 11, 2009
Ryman Hall B1/B2 (Gaylord Opryland Hotel)

Choamun Yun, Fuel Cell System Development Team, Corporate R&D Institute, Doosan Heavy Industries & Construction, Daejeon, South Korea
L. T. Fan, Department of Chemical Engineering, Kansas State University, Manhattan, KS
Tengyan Zhang, Department of Chemical Engineering, Kansas State University, Manhattan, KS
Taeyong Kim, Department of Chemical and Biomolecular Engineering, KAIST, Daejeon, South Korea
Young Kim, Energy Plant Research Division, Korea Institute of Machinery and Materials, Daejeon, South Korea
Sang Yup Lee, Department of Chemical and Biomolecular Engineering, KAIST, Daejeon, South Korea
Sunwon Park, Department of Chemical & Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Ferenc Friedler, Department of Computer Science, University of Pannonia, Veszprém, Hungary
Botond Bertok, Department of Computer Science, University of Pannonia, Veszprém, Hungary

An effective strategy comprising two steps is proposed to determine the thermodynamically dominant pathways in a metabolic network involving a number of reaction steps. In the first step, stoichiometrically feasible metabolic pathways are exhaustively identified through the flux balance analysis and the graph-theoretic method based on P-graphs. In the second step, thermodynamically dominant pathways are selected from these stoichiometrically feasible metabolic pathways on the basis of the Gibbs free energy change of reaction and the flux of every reaction step in the pathways. The proposed strategy is applied to an E. coli model for two cases, one for the maximal acetate production and the other for the maximal ethanol production, to demonstrate its profound efficacy.
Extended Abstract: File Not Uploaded