Cellular Studies of an Aminoglycoside Potentiator Reveal a New Inhibitor of Aminoglycoside Resistance
Bibliographic record
Abstract
Aminoglycosides are a group of broad-spectrum antibiotics that have been used in the clinic for almost a century. The rapid spread of bacterial genes coding for aminoglycoside-modifying enzymes has, however, dramatically decreased the utility of aminoglycosides. We have previously reported several aminoglycoside potentiators that work by inhibiting aminoglycoside N-6'-acetyltransferase, one of the most common determinants of aminoglycoside resistance. Among these, prodrugs that combine the structure of an aminoglycoside with that of pantothenate into one molecule are especially promising. We report here a series of cellular studies to investigate the activity and mechanism of action of these prodrugs further. Our results reveal a new aminoglycoside resistance inhibitor, as well as the possibility that these prodrugs are transformed into more than one inhibitor in bacteria. We also report that the onset of the potentiators is rapid. Their low cell cytotoxicity, good stability, and potentiation of various aminoglycosides, against both Gram-positive and Gram-negative bacteria, make them interesting compounds for the development of new drugs.
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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 | 0.001 |
| 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".