Nature Communications · 2019 · 393 citations · 75 references
Life SciencesBioinformaticsBiologyComputational BiologyComputational Systems BiologyMetabolismGenome-scale Metabolic ModelingMicrobial Omics IntegrationOmics IntegrationYeast BiologyYeast GeneticsData Version ControlEnzyme-constrained Metabolic ModelingEnzyme-constrained ModelingGenome-scale Metabolic Network ReconstructionGenome-scale Model ReconstructionMetabolic Pathway ReconstructionSystems Metabolic ModelingYeast Metabolism
Genome‑scale metabolic models (GEMs) compile extensive knowledgebases that enable simulation and integrative analysis of omics data. This study introduces Yeast8 and its ecosystem of models as a comprehensive computational resource for simulating Saccharomyces cerevisiae metabolism. Yeast8 employs version‑controlled community development, produces derived panYeast8 and coreYeast8 models for 1,011 yeast strains, and integrates enzyme constraints and protein 3D structures to enable multi‑scale exploration of metabolism and prediction of single‑nucleotide variation effects.
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 (proYeast8DB), 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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KEGG: Kyoto Encyclopedia of Genes and Genomes
Minoru Kanehisa · Nucleic Acids Research · 2000 · 39.2K citations · Full text
KEGG: Kyoto Encyclopedia of Genes and Genomes
Hiroyuki Ogata, Susumu Goto, Kazushige Sato et al. · Nucleic Acids Research · 1999 · 32.4K citations · Full text
Fast and sensitive protein alignment using DIAMOND
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