Structural determinants stabilizing the axial channel of <scp>ClpP</scp> for substrate translocation
Bibliographic record
Abstract
Acyldepsipeptides (ADEPs) antibiotics bind to Escherichia coli ClpP mimicking the interactions that the IGL/F loops in ClpA or ClpX ATPases establish with the hydrophobic pockets surrounding the axial pore of the tetradecamer that the protease forms. ADEP binding induces opening of the gates blocking the axial channel of ClpP and allowing protein substrates to be translocated and hydrolysed in the degradation chamber. To identify the structural determinants stabilizing the open conformation of the axial channel for efficient substrate translocation, we constructed ClpP variants with amino acid substitutions in the N-terminal region that forms the axial gates. We found that adoption of a β-hairpin loop by this region and the integrity of the hydrophobic cluster at the base of this loop are necessary elements for the axial gate to efficiently translocate protein substrates. Analysis of ClpP variants from Bacillus subtilis suggested that the identified structural requirements of the axial channel for efficient translocation are conserved between Gram-positive and Gram-negative bacteria. These findings provide mechanistic insights into the activation of ClpP by ADEPs as well as the gating mechanism of the protease in the context of the ClpAP and ClpXP complexes.
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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 | 0.000 |
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".