A New Paradigm for Electron Transfer through <i>Escherichia coli</i> Nitrate Reductase A
Bibliographic record
Abstract
We have investigated the role of redox cooperativity in defining the functional relationship among the three membrane-associated prosthetic groups of Escherichia coli nitrate reductase A: the two hemes (bD and bP) of the membrane anchor subunit (NarI) and the [3Fe-4S] cluster (FS4) of the electron-transfer subunit (NarH). Previously published analyses of potentiometric titrations have exhibited the following anomalous behaviors: (i) fits of titration data for heme bp and the [3Fe-4S] cluster exhibited two apparent components; (ii) heme bD titrated with an apparent electron stoichiometry (n) of <1.0; and (iii) the binding of quinol oxidation inhibitors shifted the reduction potentials of both hemes despite there being only a single quinol oxidation site (Q-site) in close juxtaposition with heme bD. Furthermore, both hemes appeared to be affected despite the absence of major structural shifts upon inhibitor binding, as judged by X-ray crystallography, or evidence of a second Q-site in the vicinity of heme bP. In a re-examination of the redox behavior of hemes bD and bP and FS4, we have developed a cooperative redox model of cofactor interaction. We show that anticooperative interactions provide an explanation for the anomalous behavior. We propose that the role of such anticooperative redox behavior in vivo is to facilitate transmembrane electron transfer across an energy-conserving membrane against an electrochemical potential.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".