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Evaluating accessibility, usability and interoperability of genome-scale metabolic models for diverse yeasts species.
Domenzain, Iván; Li, Feiran; Kerkhoven, Eduard J; Siewers, Verena.
Afiliação
  • Domenzain I; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.
  • Li F; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.
  • Kerkhoven EJ; Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.
  • Siewers V; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Kemivägen 10, SE-412 96, Gothenburg, Sweden.
FEMS Yeast Res ; 21(1)2021 03 04.
Article em En | MEDLINE | ID: mdl-33428734
Metabolic network reconstructions have become an important tool for probing cellular metabolism in the field of systems biology. They are used as tools for quantitative prediction but also as scaffolds for further knowledge contextualization. The yeast Saccharomyces cerevisiae was one of the first organisms for which a genome-scale metabolic model (GEM) was reconstructed, in 2003, and since then 45 metabolic models have been developed for a wide variety of relevant yeasts species. A systematic evaluation of these models revealed that-despite this long modeling history-the sequential process of tracing model files, setting them up for basic simulation purposes and comparing them across species and even different versions, is still not a generalizable task. These findings call the yeast modeling community to comply to standard practices on model development and sharing in order to make GEMs accessible and useful for a wider public.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Genoma Fúngico / Biologia de Sistemas / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Revista: FEMS Yeast Res Assunto da revista: MICROBIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Genoma Fúngico / Biologia de Sistemas / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Revista: FEMS Yeast Res Assunto da revista: MICROBIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia