Targeting bacterial kinases as a strategy to counteract antibiotic resistance
Bibliographic record
Abstract
Antibiotic resistance is rapidly emerging as one of the most critical health threats, with resistant microorganisms progressively diminishing the effectiveness of established antibiotics. As a result, the development of therapeutic approaches that effectively target resistant pathogens is of utmost importance. In this study, we developed inhibitors for APH(2")-IVa, a bacterial kinase conveying resistance to aminoglycoside antibiotics. Starting from a hit of a fragment-based screening, we explored the inhibitory motif by structure-based design, ultimately leading to a series of triazole analogues. Advanced analogues displayed promising ADME properties, emerging selectivity vs a panel of human kinases, permeability in both Gram-positive and Gram-negative bacteria, and a moderate antibiotic efficacy for clinical strains of P. aeruginosa. Taken together, our results suggest inhibition of bacterial kinases could be a promising option to reinstall the efficacy of aminoglycoside antibiotics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".