Genome-scale metabolic models are increasingly becoming available for a variety of
microorganisms. This has spurred the development of a wide array of computational tools …

Background Flux coupling analysis (FCA) has become a useful tool in the constraint-based
analysis of genome-scale metabolic networks. FCA allows detecting dependencies between …

Control theory, a well-established discipline in engineering and mathematics, has found
novel applications in systems biology. This interdisciplinary approach leverages the …

Metabolic pathway analysis is an important area in computational biology, which has
received considerable attention in the recent past. The set of all possible flux distributions …

Recently there has not been a systematic, objective assessment of the metabolic capabilities
of the human platelet. A manually curated, functionally tested and validated biochemical …

Background Flux coupling analysis (FCA) is a useful method for finding dependencies
between fluxes of a metabolic network at steady-state. FCA classifies reactions into subsets …

Genome-scale metabolic reconstructions are comprehensive, yet incomplete, models of real-
world metabolic networks. While flux coupling analysis (FCA) has proved an appropriate …

Elementary modes (EMs) are steady-state metabolic flux vectors with minimal set of active
reactions. Each EM corresponds to a metabolic pathway. Therefore, studying EMs is helpful …

The investigation of spliceosomal processes is currently a topic of intense research in
molecular biology. In the molecular mechanism of alternative splicing, a multi-protein–RNA …

Flux coupling analysis (FCA) aims to describe the functional dependencies among reactions
in a metabolic network. Currently studied coupling relations are qualitative in the sense that …