Q-Site Occupancy Defines Heme Heterogeneity in <i>Escherichia coli</i> Nitrate Reductase A (NarGHI)
Bibliographic record
Abstract
The membrane subunit (NarI) of Escherichia coli nitrate reductase A (NarGHI) contains two b-type hemes, both of which are the highly anisotropic low-spin type. Heme bD is distal to NarGH and constitutes part of the quinone binding and oxidation site (Q-site) through the axially coordinating histidine-66 residue and one of the heme bD propionate groups. Bound quinone participates in hydrogen bonds with both the imidazole of His66 and the heme propionate, rendering the EPR spectrum of the heme bD sensitive to Q-site occupancy. As such, we hypothesize that the heterogeneity in the heme bD EPR signal arises from the differential occupancy of the Q-site. In agreement with this, the heterogeneity is dependent upon growth conditions but is still apparent when NarGHI is expressed in a strain lacking cardiolipin. Furthermore, this heterogeneity is sensitive to Q-site variants, NarI-G65A and NarI-K86A, and is collapsible by the binding of inhibitors. We found that the two main gz components of heme bD exhibit differences in reduction potential and pH dependence, which we posit is due to differential Q-site occupancy. Specifically, in a quinone-bound state, heme bD exhibits an Em,8 of -35 mV and a pH dependence of -40 mV pH(-1). In the quinone-free state, however, heme bD titrates with an Em,8 of +25 mV and a pH dependence of -59 mV pH(-1). We hypothesize that quinone binding modulates the electrochemical properties of heme bD as well as its EPR properties.
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 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 | 0.000 | 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) | 0.000 | 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 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".