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Record W2293153195 · doi:10.1021/acsinfecdis.5b00099

Peptide Targeting of an Antibiotic Prodrug toward Phagosome-Entrapped Mycobacteria

2015· article· en· W2293153195 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchTerry Fox Foundation
KeywordsPhagosomeProdrugAntibioticsMicrobiologyPeptideMedicineBiologyPharmacologyPhagocytosisBiochemistry

Abstract

fetched live from OpenAlex

Mycobacterial infections are difficult to treat due to the bacterium's slow growth, ability to reside in intracellular compartments within macrophages, and resistance mechanisms that limit the effectiveness of conventional antibiotics. Developing antibiotics that overcome these challenges is therefore critical to providing a pipeline of effective antimicrobial agents. Here, we describe the synthesis and testing of a unique peptide-drug conjugate that exhibits high levels of antimicrobial activity against M. smegmatis and M. tuberculosis as well as clearance of intracellular mycobacteria from cultured macrophages. Using an engineered peptide sequence, we deliver a potent DHFR inhibitor and target the intracellular phagosomes where mycobacteria reside and also incorporate a β-lactamase-cleavable cephalosporin linker to enhance the targeting of quiescent intracellular β-lactam-resistant mycobacteria. By using this type of prodrug approach to target intracellular mycobacterial infections, the emergence of antibacterial resistance mechanisms could be minimized.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.027
GPT teacher head0.304
Teacher spread0.278 · 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