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Record W2064110771 · doi:10.1021/jm061294n

Dicarba Analogues of the Cyclic Enkephalin Peptides H-Tyr-<i>c</i>[<scp>d</scp>-Cys-Gly-Phe-<scp>d</scp>(or<scp>l</scp>)-Cys]NH<sub>2</sub>Retain High Opioid Activity

2007· article· en· W2064110771 on OpenAlexaff
Irena Berezowska, Nga N. Chung, Carole Lemieux, Brian C. Wilkes, Peter W. Schiller

Bibliographic record

VenueJournal of Medicinal Chemistry · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
FundersNational Institute on Drug Abuse
KeywordsChemistryStereochemistryAgonistCyclic peptideTripeptidePeptideEnkephalinOligopeptideOpioid peptidePeptide synthesisMetathesisRing-closing metathesisChemical synthesisReceptorOpioidBiochemistryOrganic chemistryIn vitroPolymerization

Abstract

fetched live from OpenAlex

Dicarba analogues of the cyclic opioid peptides H-Tyr-c[d-Cys-Gly-Phe-d(or l)-Cys]NH2 were synthesized on solid phase by substituting allylglycines for the cysteines and cyclization by ring-closing metathesis between the side chains of the allylglycine residues. Mixtures of cis and trans isomers of the resulting olefinic peptides were obtained, and catalytic hydrogenation yielded the saturated -CH2-CH2- bridged peptides. The dicarba analogues retained high mu and delta agonist potencies. Remarkably, the trans isomer of H-Tyr-c[d-Allylgly-Gly-Phe-l-Allylgly]NH2 was a mu agonist/delta agonist with subnanomolar potency at both receptors.

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)0.002
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.003
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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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.

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

Citations53
Published2007
Admission routes1
Has abstractyes

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