Spectroscopic Characterization and Competitive Inhibition Studies of Azide Binding to a Functional NOR Model
Bibliographic record
Abstract
Abstract Azide binding to a functional nitric oxide reductase (NOR) model has been investigated in its mixed‐valence (LFe III Fe II and LFe II Fe III ) and fully oxidized (LFe III Fe III ) forms. FTIR and EPR spectroscopic methods indicate that azide binds in a bridging mode between the heme iron and the non‐heme iron sites. Terminal azide binding at both heme and non‐heme centers is also identified with the reactions of azide and the dinuclear compounds LFe III /Zn II and LZn II /Fe III : the bound azide at the ferric heme center exhibits a vibrational frequency at 2007 cm –1 in the FTIR, while the bound azide at the ferric non‐heme site shows a band at 2055 cm –1 . The reactivity of nitric oxide with the model compounds in the presence of excess azide was investigated. It is demonstrated that azide does not inhibit NO binding to the fully reduced catalyst but binds the Fe B tightly in both the mixed‐valence and the fully oxidized states. These results further support the proposal that a bis‐ferrous instead of a mixed‐valence state is the active form of NOR.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".