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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
David Zimmer
4Computational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany
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
Frederick Sommer
5Molecular Biotechnology & Systems Biology, TU Kaiserslautern, Kaiserslautern, Germany
Timo Mühlhaus
4Computational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany
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

- Supplementary Figures[supplements/515318_file02.pdf]
- Supplementary Tables[supplements/515318_file03.xlsx]
Posted November 06, 2022.
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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