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Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-γ-glutamic acid production strains.

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第一作者： Ilaria,Massaiu

第一单位： Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Dep. Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100, Pavia, Italy.;Centre for Health Technologies, University of Pavia, Via Ferrata 5, 27100, Pavia, Italy.

作者： Ilaria,Massaiu ^[1] ; Lorenzo,Pasotti ^[1] ; Nikolaus,Sonnenschein ^[2] ; Erlinda,Rama ^[3] ; Matteo,Cavaletti ^[3] ; Paolo,Magni ^[1] ; Cinzia,Calvio ^[3] ; Markus J,Herrgård ^[4]

作者单位： Laboratory of Bioinformatics, Mathematical Modelling and Synthetic Biology, Dep. Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100, Pavia, Italy.;Centre for Health Technologies, University of Pavia, Via Ferrata 5, 27100, Pavia, Italy. ^[1] The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark. ^[2] Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, Via Ferrata 9, 27100, Pavia, Italy. ^[3] The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark. herrgard@biosustain.dtu.dk. ^[4]

关键词 Bacillus subtilis Constraint-based methods Enzymatic data Genome-scale metabolic model Poly-γ-glutamic acid