Scholar: Nikolaus Sonnenschein

Nikolaus Sonnenschein

Academic lineage

Laboratory evolution reveals general and specific tolerance mechanisms for commodity chemicals

  • Rebecca M Lennen, Hyun Gyu Lim, Kristian Jensen, …, Morten O A Sommer, Markus J HerrgÃ¥rd, Adam M Feist
  • Metab Eng, 10.1016/j.ymben.2023.01.012
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A Genome-Scale Metabolic Model of Methanoperedens nitroreducens : Assessing Bioenergetics and Thermodynamic Feasibility

  • Bingqing He, Chen Cai, Tim McCubbin, …, Shihu Hu, Zhiguo Yuan, Esteban Marcellin
  • None, 10.3390/metabo12040314
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Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies

  • Ibrahim E Elsemman, Angelica Rodriguez Prado, Pranas Grigaitis, …, Pascale Daran-Lapujade, Jens Nielsen, Bas Teusink
  • Nat Commun, 10.1038/s41467-022-28467-6
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Engineering precursor supply for the high-level production of ergothioneine in Saccharomyces cerevisiae

  • Steven A van der Hoek, Matej Rusnák, Guokun Wang, …, Behrooz Darbani, Douglas B Kell, Irina Borodina
  • Metab Eng, 10.1016/j.ymben.2022.01.012
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Genome-scale metabolic modeling of P. thermoglucosidasius NCIMB 11955 reveals metabolic bottlenecks in anaerobic metabolism

  • Viviënne Mol, Martyn Bennett, Benjamín J Sánchez, …, Alex Toftgaard Nielsen, David J Leak, Nikolaus Sonnenschein
  • Metab Eng, 10.1016/j.ymben.2021.03.002
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Single-Cell Technologies to Understand the Mechanisms of Cellular Adaptation in Chemostats

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Fluctuations in glucose availability prevent global proteome changes and physiological transition during prolonged chemostat cultivations of Saccharomyces cerevisiae

  • Naia R Wright, Tune Wulff, Eva A Palmqvist, …, Nikolaus Sonnenschein, Nanna P Rønnest, Markus J HerrgÃ¥rd
  • Biotechnol Bioeng, 10.1002/bit.27353
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OptCouple: Joint simulation of gene knockouts, insertions and medium modifications for prediction of growth-coupled strain designs

  • Kristian Jensen, Valentijn Broeken, Anne Sofie Lærke Hansen, Nikolaus Sonnenschein, Markus J HerrgÃ¥rd
  • Metab Eng, 10.1016/j.mec.2019.e00087
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Combined In-Cell NMR and Simulation Approach to Probe Redox-Dependent Pathway Control

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Improving Reproducibility in Synthetic Biology

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