MétaCan
Menu
← Back to cohort
Record W1945697216 · doi:10.1139/cjpp-2015-0204

Discovery of ethyl urea derivatives as inhibitors of islet amyloid polypeptide fibrillization and cytotoxicity

2015· article· en· W1945697216 on OpenAlexaffvenue
Jessica S. Fortin, Marie‐Odile Benoit‐Biancamano, René C.-Gaudreault

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2015
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsHôpital Saint-François d'AssiseUniversité de Montréal
Fundersnot available
KeywordsChemistryIsletCytotoxicityMoietyAmyloid (mycology)In vitroSmall moleculeBiochemistryPancreatic isletsPeptideStereochemistryInsulinEndocrinologyBiology

Abstract

fetched live from OpenAlex

Islet amyloid polypeptide (IAPP) has been shown to form amyloid deposits in pancreatic islets, thereby furthering type 2 diabetes disease progression. Further discovery of new molecules is needed to create a diverse set of molecules that impede pancreatic amyloidosis. We have recently designed and synthesized N-phenyl-N'-(2-ethyl)ureas (EU) that are non-cytotoxic small molecules, to evaluate the role of the aryl-substituted moiety on the inhibition of hIAPP fibrillization. Several EUs were tested in vitro for their anti-amyloidogenic activity using the fluorometric ThT assay, the photo-induced cross-linking (PIUCP) assay, and cell survival assay in pancreatic MIN-6 cells. EU-362 and EU-418 were able to significantly inhibit the formation of hIAPP fibrils and protected cells from amyloid cytotoxic effects. Our results suggest that increasing the nucleophilic potency of the aryl moiety significantly enhances the anti-amyloidogenic activity of the molecules.

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 score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.321
Teacher spread0.293 · 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

Citations13
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and Pharmacology→Same topicAlzheimer's disease research and treatments→French-language works237,207→