Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints.

Sánchez, Benjamín J; Zhang, Cheng; Nilsson, Avlant; Lahtvee, Petri-Jaan; Kerkhoven, Eduard J; Nielsen, Jens

Sánchez, Benjamín J; Zhang, Cheng; Nilsson, Avlant; Lahtvee, Petri-Jaan; Kerkhoven, Eduard J; Nielsen, Jens.

Afiliación

Sánchez BJ; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Zhang C; Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, Gothenburg, Sweden.
Nilsson A; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Lahtvee PJ; State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Kerkhoven EJ; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Nielsen J; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Mol Syst Biol ; 13(8): 935, 2017 08 03.

Article en En | MEDLINE | ID: mdl-28779005

Asunto(s)

Saccharomyces cerevisiae/enzimología; Biología de Sistemas/métodos; Genoma Fúngico; Cinética; Ingeniería Metabólica; Redes y Vías Metabólicas; Modelos Biológicos; Fenotipo; Saccharomyces cerevisiae/crecimiento & desarrollo

Palabras clave

Saccharomyces cerevisiae; enzyme kinetics; flux balance analysis; molecular crowding; proteomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Biología de Sistemas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Syst Biol Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Suecia

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