Title :
A pivoting algorithm for metabolic networks in the presence of thermodynamic constraints
Author :
Nigam, R. ; Liang, S.
Author_Institution :
W.W. Hansen Exp. Phys. Lab., Stanford Univ., CA, USA
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.
Keywords :
biochemistry; biology computing; cellular biophysics; linear programming; microorganisms; molecular biophysics; thermodynamics; E.coli; chemical reaction; linear programming algorithm; mass conservation; metabolic network; metabolic pathway; thermodynamics; Biochemistry; Biomass; Chemicals; Constraint optimization; Intelligent networks; Linear programming; Steady-state; Testing; Thermodynamics; Voltage;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7695-2344-7
