MétaCan
Menu
Back to cohort
Record W2391377023 · doi:10.1021/acs.jmedchem.5b01578

Synthesis of Tridecaptin–Antibiotic Conjugates with in Vivo Activity against Gram-Negative Bacteria

2015· article· en· W2391377023 on OpenAlexafffund
Stephen A. Cochrane, Xuefeng Li, Sisi He, Min Yu, Min Wu, John C. Vederas

Bibliographic record

VenueJournal of Medicinal Chemistry · 2015
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Institute of Allergy and Infectious DiseasesAlberta Innovates - Health SolutionsFlight Attendant Medical Research Institute
KeywordsChemistryAntibioticsBacteriaIn vivoGram-negative bacteriaGramMicrobiologyAntibacterial agentConjugateBiochemistryEscherichia coliBiotechnologyBiology

Abstract

fetched live from OpenAlex

A series of tridecaptin-antibiotic conjugates were synthesized and evaluated for in vitro and in vivo activity against Gram-negative bacteria. Covalently linking unacylated tridecaptin A1 (H-TriA1) to rifampicin, vancomycin, and erythromycin enhanced their activity in vitro but not by the same magnitude as coadministration of the peptide and these antibiotics. The antimicrobial activities of the conjugates were retained in vivo, with the H-TriA1-erythromycin conjugate proving a more effective treatment of Klebseilla pneumoniae infections in mice than erythromycin alone or in combination with H-TriA1.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations56
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Medicinal ChemistrySame topicClick Chemistry and ApplicationsFrench-language works237,207