MétaCan
Menu
Back to cohort

A chimeric opioid peptide with mixed μ agonist/δ antagonist properties

2004· article· en· W1929507146 on OpenAlexaff
Grazyna Weltrowska, C. Lemieux, Nga N. Chung, Peter W. Schiller

Bibliographic record

VenueJournal of Peptide Research · 2004
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsMontreal Clinical Research Institute
FundersNational Institute on Drug Abuse
KeywordsAgonistChemistryAntagonistPeptideStereochemistryμ-opioid receptorLinkerPartial agonistOpioid antagonistReceptorPharmacology(+)-NaloxoneBiochemistryBiology

Abstract

fetched live from OpenAlex

There is evidence to indicate that opioid compounds with mixed mu agonist/delta antagonist properties are analgesics with low propensity to produce tolerance and physical dependence. A chimeric peptide containing the potent and selective mu agonist H-Dmt-D-Arg-Phe-Lys-NH2 ([Dmt1]DALDA) (Dmt=2',6'-dimethyltyrosine) and the potent and selective delta antagonist H-Tyr-TicPsi[CH2-NH]Cha-Phe-OH (TICP[Psi]) (Cha=cyclohexylalanine), connected 'tail-to-tail' via a short linker, was synthesized using a combination of solid-phase and solution techniques. The resulting peptide, H-Dmt-->D-Arg-->Phe-->Lys-NH-CH2-CH2-NH-Phe<--Cha[NH-CH2]PsiTic<--Tyr-H, showed the expected mu agonist/delta antagonist profile in the guinea-pig ileum and mouse vas deferens assays. Its mu and delta receptor binding affinities were in the low nanomolar range, as determined in rat brain membrane binding assays.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.045
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.339
Teacher spread0.229 · 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

Citations30
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Peptide ResearchSame topicNeuropeptides and Animal PhysiologyFrench-language works237,207