Background: Genome-scale draft metabolic networks are incomplete, even for well studied organisms. Results: Reactions selected by minimizing flux through unlikely reactions resulted in networks of superior quality. Conclusion: Genome-scale models have many network completion solutions but require the addition of unsupported reactions to be functional. Significance: Metabolic networks guide synthetic biology efforts, and the quality of networks determines their predictive power.
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© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.