Nikolaus Sonnenschein

Affiliations: 
DTU - Technical University of Denmark 
Area:
computational biology
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"Nikolaus Sonnenschein"
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Publications

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Elsemman IE, Rodriguez Prado A, Grigaitis P, et al. (2022) Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies. Nature Communications. 13: 801
Mol V, Bennett M, Sánchez BJ, et al. (2021) Genome-scale metabolic modeling of P. thermoglucosidasius NCIMB 11955 reveals metabolic bottlenecks in anaerobic metabolism. Metabolic Engineering
Wright NR, Rønnest NP, Sonnenschein N. (2020) Single-Cell Technologies to Understand the Mechanisms of Cellular Adaptation in Chemostats. Frontiers in Bioengineering and Biotechnology. 8: 579841
Lu H, Li F, Sánchez BJ, et al. (2020) Author Correction: A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nature Communications. 11: 5443
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
Li S, Jendresen CB, Landberg J, et al. (2020) Genome-wide CRISPRi-based identification of targets for decoupling growth from production. Acs Synthetic Biology
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
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