Differential effects of a molybdopterin synthase sulfurylase (<i>moeB</i>) mutation on <i>Escherichia coli</i> molybdoenzyme maturation
Bibliographic record
Abstract
We have generated a chromosomal mutant of moeB (moeBA228T) that demonstrates limited molybdenum cofactor (molybdo-bis(molybdopterin guanine dinucleotide) (Mo-bisMGD)) availability in Escherichia coli and have characterized its effect on the maturation and physiological function of two well-characterized respiratory molybdoenzymes: the membrane-bound dimethylsulfoxide (DMSO) reductase (DmsABC) and the membrane-bound nitrate reductase A (NarGHI). In the moeBA228T mutant strain, E. coli F36, anaerobic respiratory growth is possible on nitrate but not on DMSO, indicating that cofactor insertion occurs into NarGHI but not into DmsABC. Fluorescence analyses of cofactor availability indicate little detectable cofactor in the moeBA228T mutant compared with the wild-type, suggesting that NarGHI is able to scavenge limiting cofactor, whereas DmsABC is not. MoeB functions to sulfurylate MoaD, and in the structure of the MoeB-MoaD complex, Ala-228 is located in the interface region between the two proteins. This suggests that the moeBA228T mutation disrupts the interaction between MoeB and MoaD. In the case of DmsABC, despite the absence of cofactor, the twin-arginine signal sequence of DmsA is cleaved in the moeBA228T mutant, indicating that maturation of the holoenzyme is not cofactor-insertion dependent.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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 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".