Amphiphilic Aminoglycoside Antimicrobials in Antibacterial Discovery
Bibliographic record
Abstract
Amphiphilic aminoglycoside antimicrobials (AAAs) are an emerging class of polycationic antibacterial agents with broad-spectrum antibacterial activity. In contrast to aminoglycosides, which interfere with protein synthesis by interacting with the 30S ribosomal subunit, AAAs appear to target the bacterial cell wall by interactions with extracellular lipids or proteins or by enhancing the permeability of the bacterial cell wall. The physicochemical similarities between amphiphilic aminoglycosides and antimicrobial peptides, another class of polycationic amphiphiles with broad-spectrum antibacterial activity, suggest similar mode(s) of action. However, in contrast to antimicrobial peptides, AAAs are not composed of peptide bonds and as such promise to display superior metabolic stability. As a result, AAAs may be considered to be a novel class of antimicrobial peptidomimetics. Many AAAs possess impressive potent antibacterial activity against Gram-positive and Gram-negative bacteria, especially against bacterial strains that are resistant to clinically used antibiotics. In summary, AAAs promise to provide a new and rich source of antibacterial lead structures to combat antibiotic-resistant and multidrug-resistant pathogens.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.016 |
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".