Sequence-based network completion reveals the integrality of missing reactions in metabolic networks

Elias W. Krumholz, Igor G.L. Libourel

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)19197-19207
Number of pages11
JournalJournal of Biological Chemistry
Volume290
Issue number31
DOIs
StatePublished - Jul 31 2015

Bibliographical note

Publisher Copyright:
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

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