Influence of GTP on system specific chaperone – Twin arginine signal peptide interaction
Bibliographic record
Abstract
Many bacterial respiratory redox enzymes depend on the twin-arginine translocase (Tat) system for translocation and membrane insertion. Tat substrates contain an N-terminal twin-arginine (SRRxFLK) motif serving as the targeting signal towards the translocon. Many Tat substrates have a system specific chaperone - redox enzyme maturation protein (REMP) - for final folding and assembly prior to Tat binding. The REMP DmsD strongly interacts with the twin-arginine motif of the DmsA signal sequence of dimethyl sulfoxide (DMSO) reductase. In this study, we have utilized the in vitro protein-protein interaction technique of an affinity pull down assay, as well as protein thermal stability measurement via differential scanning fluorimetry (DSF) to investigate the interaction of guanosine nucleotides (GNPs) with DmsD. Here we have shown highly cooperative binding of DmsD with GTP. A dissociative ligand-binding style isotherm was generated upon GTP titration into the DmsD:DmsAL interaction, yielding sigmoidal release of DmsD with a Hill coefficient of 2.09 and a dissociation constant of 0.99 mM. DSF further illustrated the change in thermal stability upon DmsD interaction with DmsAL and GTP. These results imply the possibility of DmsD detection and binding of GTP during the DMSO protein maturation mechanism, from ribosomal translation to membrane targeting and final assembly. Conceivably, GTP is shown to act as a molecular regulator in the biochemical pathway.
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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 | 0.001 |
| 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) | 0.002 | 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".