Identification of a twin‐arginine leader‐binding protein
Bibliographic record
Abstract
The transport and targeting of a number of periplasmic proteins is carried out by the Sec-independent Mtt (also referred to as Tat) protein translocase. Proteins using this translocase have a distinct twin-arginine-containing leader. We hypothesized that specific leader-binding proteins exist to escort proteins to the translocase complex. A fusion was constructed with the twin-arginine leader from dimethyl sulphoxide (DMSO) reductase, subunit DmsA, to the N-terminus of glutathione-S-transferase. This leader fusion was bound to a glutathione affinity column through which an Escherichia coli anaerobic cell-free extract was passed. Proteins that bound to the leader were then separated and identified by N-terminal sequencing, which identified DnaK and a protein originating from the uncharacterized reading frame ynfI. This gene has been designated dmsD based on the findings presented in this paper. DmsD was purified as a His6 fusion and was shown to interact with preprotein forms of DmsA and TorA (trimethyl amine N-oxide reductase). A strain carrying a dmsD knock-out mutation showed a loss of anaerobic growth on glycerol-DMSO medium and reduced growth on glycerol-fumarate medium. This work suggests that DmsD is a twin-arginine leader-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) | 0.000 | 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) | 0.001 | 0.001 |
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".