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Record W2495997713 · doi:10.1111/cbdd.12835

Insight into the mechanism of chemical modification of antibacterial agents by antibiotic resistance enzyme <i>O</i>‐phosphotransferase‐IIIA

2016· article· en· W2495997713 on OpenAlexafffund
Blake Hollett Power, N. Smith, Brandon Downer, Laleh Alisaraie

Bibliographic record

VenueChemical Biology & Drug Design · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsMemorial University of Newfoundland
FundersWestern Canada Research GridCompute Canada
KeywordsStereochemistryEnzymePhosphotransferaseAminoglycosideChemistryAntibioticsActive siteAntibacterial activityMolecular dynamicsBiochemistryBinding siteBacteriaBiologyComputational chemistry

Abstract

fetched live from OpenAlex

In the present work, the mechanism of resistance to aminoglycoside antibiotics was investigated. We examined the conformational changes of the O-phosphotransferase-IIIa enzyme, complexed with the antibiotics using MD simulations. The inhibitory effects of a group of antibacterial peptides against the enzyme were also examined, among which CP10A showed the highest affinity and the results correlated with the measured IC50 values. The regioselectivity of the phosphorylation reaction was shown to be in favor of the OH at the 5″ position versus the 3' of the antibiotic. The binding mode of CP10A was evaluated by means of MD simulation that resulted in recognizing its Trp8 and Arg13 residues binding near to where residues at the 3' and 5″ positions of the antibiotic would bind; thus, they are essential for the peptide inhibitory effect. The major open, semi-open, and closed conformations of the binding sites were identified throughout the MD trajectory, which enable the enzyme to regulate the influx of molecules into these sites. Based on the enzyme crystal structure, it was assumed that the 'antibiotic loop' of the enzyme is stable in its liganded mode; however, MD results revealed that the loop is highly flexible in both liganded and ligand-free modes.

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 score0.023
Threshold uncertainty score0.816

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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