Constraint-based modeling of genome-scale metabolic network reconstructions
has become a widely used approach in computational biology. Flux coupling
analysis is a constraint-based method that analyses the impact of single
reaction knockouts on other reactions in the network. We present an extension
of flux coupling analysis for double and multiple gene or reaction knockouts,
and develop corresponding algorithms for an in silico simulation. To evaluate
our method, we perform a full single and double knockout analysis on a
selection of genome-scale metabolic network reconstructions and compare the
results
