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Proteomics and constraint-based modelling reveal enzyme kinetic properties of Chlamydomonas reinhardtii on a genome scale

View ORCID ProfileMarius Arend, David Zimmer, Rudan Xu, Frederick Sommer, View ORCID ProfileTimo Mühlhaus, View ORCID ProfileZoran Nikoloski
doi: https://doi.org/10.1101/2022.11.06.515318
Marius Arend
1Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
2Systems Biology and Mathematical Modelling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
3Bioinformatics and Mathematical Modeling Department, Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria
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  • ORCID record for Marius Arend
David Zimmer
4Computational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany
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Rudan Xu
1Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
2Systems Biology and Mathematical Modelling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
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Frederick Sommer
5Molecular Biotechnology & Systems Biology, TU Kaiserslautern, Kaiserslautern, Germany
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Timo Mühlhaus
4Computational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany
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Zoran Nikoloski
1Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
2Systems Biology and Mathematical Modelling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
3Bioinformatics and Mathematical Modeling Department, Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria
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  • ORCID record for Zoran Nikoloski
  • For correspondence: Nikoloski@mpimp-golm.mpg.de
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Article Information

doi 
https://doi.org/10.1101/2022.11.06.515318
History 
  • November 6, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Marius Arend1,2,3,
  2. David Zimmer4,
  3. Rudan Xu1,2,
  4. Frederick Sommer5,
  5. Timo Mühlhaus4 and
  6. Zoran Nikoloski1,2,3,*
  1. 1Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
  2. 2Systems Biology and Mathematical Modelling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
  3. 3Bioinformatics and Mathematical Modeling Department, Center of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria
  4. 4Computational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany
  5. 5Molecular Biotechnology & Systems Biology, TU Kaiserslautern, Kaiserslautern, Germany
  1. ↵*Corresponding Author: Zoran Nikoloski, Email:
    Nikoloski{at}mpimp-golm.mpg.de
  1. Author Contributions: MA and DZ performed research. DZ and FS run experiments and acquired protein abundance data. MA wrote code and analyzed data, RX provided code and troubleshooting support for NIDLE. MA, DZ, TM, ZN designed research. MA, ZN, DZ, TM wrote the paper.

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Posted November 06, 2022.
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Proteomics and constraint-based modelling reveal enzyme kinetic properties of Chlamydomonas reinhardtii on a genome scale
Marius Arend, David Zimmer, Rudan Xu, Frederick Sommer, Timo Mühlhaus, Zoran Nikoloski
bioRxiv 2022.11.06.515318; doi: https://doi.org/10.1101/2022.11.06.515318
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Proteomics and constraint-based modelling reveal enzyme kinetic properties of Chlamydomonas reinhardtii on a genome scale
Marius Arend, David Zimmer, Rudan Xu, Frederick Sommer, Timo Mühlhaus, Zoran Nikoloski
bioRxiv 2022.11.06.515318; doi: https://doi.org/10.1101/2022.11.06.515318

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