Journal
NATURE COMMUNICATIONS
Volume 10, Issue -, Pages -Publisher
NATURE RESEARCH
DOI: 10.1038/s41467-019-11581-3
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Funding
- Novo Nordisk Foundation [NNF10CC1016517]
- Knut and Alice Wallenberg Foundation
- European Union [686070, 720824]
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Genome-scale metabolic models (GEMs) represent extensive knowledgebases that provide a platform for model simulations and integrative analysis of omics data. This study introduces Yeast8 and an associated ecosystem of models that represent a comprehensive computational resource for performing simulations of the metabolism of Saccharomyces cerevisiae-an important model organism and widely used cell-factory. Yeast8 tracks community development with version control, setting a standard for how GEMs can be continuously updated in a simple and reproducible way. We use Yeast8 to develop the derived models panYeast8 and coreYeast8, which in turn enable the reconstruction of GEMs for 1,011 different yeast strains. Through integration with enzyme constraints (ecYeast8) and protein 3D structures (proYeast8(DB)), Yeast8 further facilitates the exploration of yeast metabolism at a multi-scale level, enabling prediction of how single nucleotide variations translate to phenotypic traits.
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