title: Efficient Reconstruction of Predictive Consensus Metabolic Network Models.
abstract: Understanding cellular function requires accurate, comprehensive representations of metabolism. Genome-scale, constraint-based metabolic models (GSMs) provide such representations, but their usability is often hampered by inconsistencies at various levels, in particular for concurrent models. COMMGEN, our tool for COnsensus Metabolic Model GENeration, automatically identifies inconsistencies between concurrent models and semi-automatically resolves them, thereby contributing to consolidate knowledge of metabolic function. Tests of COMMGEN for four organisms showed that automatically generated consensus models were predictive and that they substantially increased coherence of knowledge representation. COMMGEN ought to be particularly useful for complex scenarios in which manual curation does not scale, such as for eukaryotic organisms, microbial communities, and host-pathogen interactions.
authors: Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland.|Laboratory of Systems and Synthetic Biology, Wageningen University, Wageningen, The Netherlands.
authors: Ruben G A
authors: RG
authors: van Heck
authors: Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland.
authors: Mathias
authors: M
authors: Ganter
authors: Laboratory of Systems and Synthetic Biology, Wageningen University, Wageningen, The Netherlands.|LifeGlimmer GmbH, Berlin, Germany.
authors: Vitor A P
authors: VA
authors: Martins Dos Santos
authors: Department of Biosystems Science and Engineering and Swiss Institute of Bioinformatics, ETH Zurich, Basel, Switzerland.
authors: Joerg
authors: J
authors: Stelling
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008954:Models, Biological; D012984:Software; D015003:Yeasts / Q000378:metabolism