Nigam R, Liang S
W.W. Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305-4085, USA.
Proc IEEE Comput Syst Bioinform Conf. 2005:259-67. doi: 10.1109/csb.2005.6.
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.
提出了一种线性规划算法，用于建设性地计算代谢网络中热力学可行的通量和反应化学势的变化。该算法基于质量守恒的物理定律和所有化学反应都应满足的热力学第二定律。作为示例，该算法已应用于大肠杆菌的核心代谢途径。
