Nikolaus Sonnenschein

DTU - Technical University of Denmark 
computational biology
"Nikolaus Sonnenschein"
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Wright NR, Wulff T, Palmqvist EA, et al. (2020) Fluctuations in glucose availability prevent global proteome changes and physiological transition during prolonged chemostat cultivations of S. cerevisiae. Biotechnology and Bioengineering
Lieven C, Beber ME, Olivier BG, et al. (2020) Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. 38: 504
Lieven C, Beber ME, Olivier BG, et al. (2020) MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology
Lu H, Li F, Sánchez BJ, et al. (2019) A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nature Communications. 10: 3586
Jensen K, Broeken V, Hansen ASL, et al. (2019) OptCouple: Joint simulation of gene knockouts, insertions and medium modifications for prediction of growth-coupled strain designs. Metabolic Engineering Communications. 8: e00087
Jessop-Fabre MM, Sonnenschein N. (2019) Improving Reproducibility in Synthetic Biology. Frontiers in Bioengineering and Biotechnology. 7: 18
Massaiu I, Pasotti L, Sonnenschein N, et al. (2019) 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. Microbial Cell Factories. 18: 3
Lieven C, Petersen LAH, Jørgensen SB, et al. (2018) A Genome-Scale Metabolic Model for (Bath) Suggests Reduced Efficiency Electron Transfer to the Particulate Methane Monooxygenase. Frontiers in Microbiology. 9: 2947
D'Arrigo I, Cardoso JGR, Rennig M, et al. (2018) Analysis of Pseudomonas putida growth on non-trivial carbon sources using transcriptomics and genome-scale modeling. Environmental Microbiology Reports
Cardoso JGR, Zeidan AA, Jensen K, et al. (2018) MARSI: metabolite analogues for rational strain improvement. Bioinformatics (Oxford, England). 34: 2319-2321
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