Appointment: Associate Professor, School of Biological Sciences
Assistant Chair (Research), School of Biological Sciences (SBS)

Research topics:
• biochemistry of CO2-fixation related machinery
• sophisticated mechanisms
• improving the photosynthetic efficiency of crop species (CFD)

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1 to 5 of 5 Results
Sep 25, 2020
Mueller-Cajar, Oliver Martin, 2020, "Data for "Rubisco activase requires residues in the large subunit N-terminus to remodel inhibited plant Rubisco"", https://doi.org/10.21979/N9/6GVGA7, DR-NTU (Data), V1, UNF:6:W7x0NbWrTNpkO7tPo0tUAA== [fileUNF]
This dataset contains the biochemical results underlying the aforementioned publication.
Aug 26, 2020
Mueller-Cajar, Oliver Martin, 2020, "Mass spectrometry data for "Rubisco activase remodels plant Rubisco via the large subunit N-terminus"", https://doi.org/10.21979/N9/WOPJB3, DR-NTU (Data), V1
*.raw files corresponding to MS experiments determining the N-terminus of Rubisco large subunit variants generated in this work.
Dec 11, 2019
Mueller-Cajar, Oliver Martin; Tsai, Yi-Chin Candace; Ye, Fuzhou; Liew, Lynette; Di, Liu; Bhushan, Shashi; Gao, Yong-Gui, 2019, "Related data for: Insights into the mechanism and regulation of the CbbQO-type Rubisco activase, a MoxR AAA+ ATPase", https://doi.org/10.21979/N9/K4IROM, DR-NTU (Data), V1, UNF:6:Jbn6MDwmQifQ9UkD9ghwKw== [fileUNF]
This dataset contains the biochemical data collected for this publication. One Excel file is provided for each Figure panel. The electron micrographs used for the 3D-reconstruction shown in Fig. 2 are also provided (*.mrc files).
Oct 18, 2019
Mueller-Cajar, Oliver Martin; Shivhare, Devendra; Tsai, Yi-Chin Candace; Ng, Jediael, 2019, "Related data for: Probing the rice Rubisco-Rubisco activase interaction via subunit hetero-oligomerization", https://doi.org/10.21979/N9/A2BS0X, DR-NTU (Data), V1, UNF:6:2wjenk1dV+ApCwCT9Hn5xA== [fileUNF]
This dataset contains the raw data analyzed for this publication. Each file corresponds to a Figure panel.
May 3, 2019
Mueller-Cajar, Oliver Martin, 2019, "Data relating to Wunder et al., Nature Communications (2018)", https://doi.org/10.21979/N9/RM7TRL, DR-NTU (Data), V1
This dataset provides raw gel images analyzed to support the findings reported in Wunder et al. 2018.
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