ArticleDatabase : the journal of biological databases and curation2013
Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance.
Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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47 citing papers in PubMed.
- In silico encounters: harnessing metabolic modelling to understand plant-microbe interactions.FEMS microbiology reviews · 2025Review
- Technologies for whole-cell modeling: Genome-wide reconstruction of a cell in silico.Development, growth & differentiation · 2023Review
- Genome-scale modeling of yeast metabolism: retrospectives and perspectives.FEMS yeast research · 2022Review
- Path to improving the life cycle and quality of genome-scale models of metabolism.Cell systems · 2021Review
- Nitrogenous Compound Utilization and Production of Volatile Organic Compounds among Commercial Wine Yeasts Highlight Strain-Specific Metabolic Diversity.Microbiology spectrum · 2021Article
- A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics.Nature communications · 2021Article
- Model-guided development of an evolutionarily stable yeast chassis.Molecular systems biology · 2021Article
- Evaluating accessibility, usability and interoperability of genome-scale metabolic models for diverse yeasts species.FEMS yeast research · 2021Article
- DEXOM: Diversity-based enumeration of optimal context-specific metabolic networks.PLoS computational biology · 2021Article
- Genome-scale metabolic reconstruction of the non-model yeastMetabolic engineering communications · 2020Article
- A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.Nature communications · 2019Article
- Current status and applications of genome-scale metabolic models.Genome biology · 2019Review
- Environment-dependent fitness gains can be driven by horizontal gene transfer of transporter-encoding genes.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Intercellular cooperation in a fungal plant pathogen facilitates host colonization.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- SLIMEr: probing flexibility of lipid metabolism in yeast with an improved constraint-based modeling framework.BMC systems biology · 2019Article
- Next-Generation Genome-Scale Models Incorporating Multilevel 'Omics Data: From Yeast to Human.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Moulding the mould: understanding and reprogramming filamentous fungal growth and morphogenesis for next generation cell factories.Biotechnology for biofuels · 2019Review
- Effects of MCHM on yeast metabolism.PloS one · 2019Article
- Model-based metabolism design: constraints for kinetic and stoichiometric models.Biochemical Society transactions · 2018Review
- A community-driven reconstruction of theFungal biology and biotechnology · 2018Article
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Abstract
Updates to maintain a state-of-the art reconstruction of the yeast metabolic network are essential to reflect our understanding of yeast metabolism and functional organization, to eliminate any inaccuracies identified in earlier iterations, to improve predictive accuracy and to continue to expand into novel subsystems to extend the comprehensiveness of the model. Here, we present version 6 of the consensus yeast metabolic network (Yeast 6) as an update to the community effort to computationally reconstruct the genome-scale metabolic network of Saccharomyces cerevisiae S288c. Yeast 6 comprises 1458 metabolites participating in 1888 reactions, which are annotated with 900 yeast genes encoding the catalyzing enzymes. Compared with Yeast 5, Yeast 6 demonstrates improved sensitivity, specificity and positive and negative predictive values for predicting gene essentiality in glucose-limited aerobic conditions when analyzed with flux balance analysis. Additionally, Yeast 6 improves the accuracy of predicting the likelihood that a mutation will cause auxotrophy. The network reconstruction is available as a Systems Biology Markup Language (SBML) file enriched with Minimium Information Requested in the Annotation of Biochemical Models (MIRIAM)-compliant annotations. Small- and macromolecules in the network are referenced to authoritative databases such as Uniprot or ChEBI. Molecules and reactions are also annotated with appropriate publications that contain supporting evidence. Yeast 6 is freely available at http://yeast.sf.net/ as three separate SBML files: a model using the SBML level 3 Flux Balance Constraint package, a model compatible with the MATLAB® COBRA Toolbox for backward compatibility and a reconstruction containing only reactions for which there is experimental evidence (without the non-biological reactions necessary for simulating growth). Database URL: http://yeast.sf.net/
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