Electron Transfer from Heme<i>b</i><sub>L</sub>to the [3Fe-4S] Cluster of<i>Escherichia coli</i>Nitrate Reductase A (NarGHI)
Bibliographic record
Abstract
We have investigated the functional relationship between three of the prosthetic groups of Escherichia coli nitrate reductase A (NarGHI): the two hemes of the membrane anchor subunit (NarI) and the [3Fe-4S] cluster of the electron-transfer subunit (NarH). In two site-directed mutants (NarGHI(H56R) and NarGHI(H205Y)) that lack the highest potential heme of NarI (heme b(H)), a large negative DeltaE(m,7) is elicited on the NarH [3Fe-4S] cluster, suggesting a close juxtaposition of these two centers in the holoenzyme. In a mutant retaining heme b(H), but lacking heme b(L) (NarGHI(H66Y)), there is no effect on the NarH [3Fe-4S] cluster redox properties. These results suggest a role for heme b(H) in electron transfer to the [3Fe-4S] cluster. Studies of the pH dependence of the [3Fe-4S] cluster, heme b(H), and heme b(L) E(m) values suggest that significant deprotonation is only observed during oxidation of the latter heme (a pH dependence of -36 mV pH(-1)). In NarI expressed in the absence of NarGH [NarI(DeltaGH)], apparent exposure of heme b(H) to the aqueous milieu results in both it and heme b(L) having E(m) values with pH dependencies of approximately -30 mV pH(-1). These results are consistent with heme b(H) being isolated from the aqueous milieu and pH effects in the holoenzyme. Optical spectroscopy indicates that inhibitors such as HOQNO and stigmatellin bind and inhibit oxidation of heme b(L) but do not inhibit oxidation of heme b(H). Fluorescence quench titrations indicate that HOQNO binds with higher affinity to the reduced form of NarGHI than to the oxidized form. Overall, the data support the following model for electron transfer through the NarI region of NarGHI: Q(P) site --> heme b(L) --> heme b(H) --> [3Fe-4S] cluster.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 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".