@article{Burgard01022004,
author = {Burgard, Anthony P. and Nikolaev, Evgeni V. and Schilling, Christophe H. and Maranas, Costas D.}, 
title = {Flux Coupling Analysis of Genome-Scale Metabolic Network Reconstructions},
volume = {14}, 
number = {2}, 
pages = {301-312}, 
year = {2004}, 
doi = {10.1101/gr.1926504}, 
abstract ={In this paper, we introduce the Flux Coupling Finder (FCF) framework for elucidating the topological and flux connectivity features of genome-scale metabolic networks. The framework is demonstrated on genome-scale metabolic reconstructions of Helicobacter pylori, Escherichia coli, and Saccharomyces cerevisiae. The analysis allows one to determine whether any two metabolic fluxes, v1 and v2, are (1) directionally coupled, if a non-zero flux for v1 implies a non-zero flux for v2 but not necessarily the reverse; (2) partially coupled, if a non-zero flux for v1 implies a non-zero, though variable, flux for v2 and vice versa; or (3) fully coupled, if a non-zero flux for v1 implies not only a non-zero but also a fixed flux for v2 and vice versa. Flux coupling analysis also enables the global identification of blocked reactions, which are all reactions incapable of carrying flux under a certain condition; equivalent knockouts, defined as the set of all possible reactions whose deletion forces the flux through a particular reaction to zero; and sets of affected reactions denoting all reactions whose fluxes are forced to zero if a particular reaction is deleted. The FCF approach thus provides a novel and versatile tool for aiding metabolic reconstructions and guiding genetic manipulations.}, 
URL = {http://genome.cshlp.org/content/14/2/301.abstract}, 
eprint = {http://genome.cshlp.org/content/14/2/301.full.pdf+html}, 
journal = {Genome Research} 
}