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Record W2333411054 · doi:10.1021/cb200366u

Inhibitors of Aminoglycoside Resistance Activated in Cells

2012· article· en· W2333411054 on OpenAlexafffund
Kenward Vong, Ingrid S. Tam, Xuxu Yan, Karine Auclair

Bibliographic record

VenueACS Chemical Biology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsAminoglycosideChemistryMicrobiologyBiologyAntibioticsPharmacology

Abstract

fetched live from OpenAlex

The most common mechanism of resistance to aminoglycoside antibiotics entails bacterial expression of drug-metabolizing enzymes, such as the clinically widespread aminoglycoside N-6'-acetyltransferase (AAC(6')). Aminoglycoside-CoA bisubstrates are highly potent AAC(6') inhibitors; however, their inability to penetrate cells precludes in vivo studies. Some truncated bisubstrates are known to cross cell membranes, yet their activities against AAC(6') are in the micromolar range at best. We report here the synthesis and biological activity of aminoglycoside-pantetheine derivatives that, although devoid of AAC(6') inhibitory activity, can potentiate the antibacterial activity of kanamycin A against an aminoglycoside-resistant strain of Enterococcus faecium. Biological studies demonstrate that these molecules are potentially extended to their corresponding full-length bisubstrates by enzymes of the coenzyme A biosynthetic pathway. This work provides a proof-of-concept for the utility of prodrug compounds activated by enzymes of the coenzyme A biosynthetic pathway, to resensitize resistant strains of bacteria to aminoglycoside antibiotics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.276
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2012
Admission routes2
Has abstractyes

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