YeiR: a metal-binding GTPase from Escherichia coli involved in metal homeostasis
Bibliographic record
Abstract
A comparative genomic analysis predicted that many members of the under-characterized COG0523 subfamily of putative P-loop GTPases function in metal metabolism. In this work we focused on the uncharacterized Escherichia coli protein YeiR by studying both the physiology of a yeiR mutant and the in vitro biochemical properties of YeiR expressed as a fusion with the maltose-binding protein (YeiR-MBP). Our results demonstrate that deletion of yeiR increases the sensitivity of E. coli to EDTA or cadmium, and this phenotype is linked to zinc depletion. In vitro, the tagged protein binds several Zn2+ ions with nanomolar affinity and oligomerizes in the presence of metal. The GTPase activity of YeiR is similar to that measured for other members of the group, but GTP hydrolysis is enhanced by Zn2+ binding. These results support the predicted connection between the COG0523 P-loop GTPases and roles in metal homeostasis. We focused on the uncharacterized E. coli protein YeiR by studying the physiology of a yeiR mutant and the in vitro biochemical properties of YeiR expressed as a fusion with the maltose-binding protein.
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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".