Characterization of Multi-Nuclear Manganese-Binding Bacterial Reaction Centers from Rhodobacter sphaeroides
Why this work is in the frame
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Bibliographic record
Abstract
abstract: In my thesis, I characterize multi-nuclear manganese cofactors in modified reaction \n\ncenters from the bacterium Rhodobacter sphaeroides. I characterized interactions \n\nbetween a variety of secondary electron donors and modified reaction centers. In Chapter \n\n1, I provide the research aims, background, and a summary of the chapters in my thesis. \n\nIn Chapter 2 and Chapter 3, I present my work with artificial four-helix bundles as \n\nsecondary electron donors to modified bacterial reaction centers. In Chapter 2, I \n\ncharacterize the binding and energetics of the P1 Mn-protein, as a secondary electron \n\ndonor to modified reaction centers. In Chapter 3, I present the activity of a suite of four\n\nhelix bundles behaving as secondary electron donors to modified reaction centers. In \n\nChapter 4, I characterize a suite of modified reaction centers designed to bind and oxidize \n\nmanganese. I present work that characterizes bound manganese oxides as secondary \n\nelectron donors to the oxidized bacteriochlorophyll dimer in modified reaction centers. In \n\nChapter 5, I present my conclusions with a short description of future work in \n\ncharacterizing multiple electron transfers from a multi-nuclear manganese cofactor in \n\nmodified reaction centers. To conclude, my thesis presents a characterization of a variety \n\nof secondary electron donors to modified reaction centers that establish the feasibility to \n\ncharacterize multiple turnovers from a multi-nuclear manganese cofactor.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it