Armand-Frappier Outstanding Student Award — Role of ATP-dependent proteases in antibiotic resistance and virulence
Bibliographic record
Abstract
ATP-dependent proteases are found in nearly all living organisms and are known to play important roles in protein quality control, including protein degradation and protein refolding. ATP-dependent proteases have been well characterized in Escherichia coli. However, in the opportunistic human pathogen Pseudomonas aeruginosa, the role of these proteases is only starting to be understood. This review will discuss the most recent research regarding the role of ATP-dependent proteases, particularly Lon and ClpP, in P. aeruginosa. These studies have revealed that despite the fact that they are not traditional regulators, these proteases are involved in regulating a multitude of processes, including antibiotic resistance and virulence, implicating a broad array of functions that these intracellular proteases have in Pseudomonas. These results are also relevant in the context of drug therapy, since ClpP and Lon are good candidates to become novel therapeutic targets to combat Pseudomonas infections.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
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".