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A pivoting algorithm for metabolic networks in the presence of thermodynamic constraints
1W.W. Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305-4085, USA. rakesh@quake.stanford.edu
Abstract:
A linear programming algorithm is presented to constructively compute thermodynamically feasible fluxes and change in chemical potentials of reactions for a metabolic network. It is based on physical laws of mass conservation and the second law of thermodynamics that all chemical reactions should satisfy. As a demonstration, the algorithm has been applied to the core metabolic pathway of E. coli.
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