MétaCan
Menu
Back to cohort
Record W1977920282 · doi:10.1021/jm0202021

Novel, Potent ORL-1 Receptor Agonist Peptides Containing α-Helix-Promoting Conformational Constraints

2002· article· en· W1977920282 on OpenAlexaff
Chongwu Zhang, Wendy Miller, Kenneth J. Valenzano, Donald J. Kyle

Bibliographic record

VenueJournal of Medicinal Chemistry · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsChemistryAgonistStereochemistryHelix (gastropod)ReceptorPharmacologyBiophysicsBiochemistry

Abstract

fetched live from OpenAlex

The ORL-1 receptor has recently been cloned and is implicated in a wide variety of physiological and pathophysiological processes. Toward the goal of elucidating important features of the receptor-bound conformation of the endogenous ligand, nociceptin (NC), several conformationally constrained analogues were prepared. Either alpha-aminoisobutyric acid (Aib) or N-methylalanine (MeAla) were inserted as replacement(s) for Ala7, Ala11, or Ala15 in the native NC sequence (FGGFTGARKSARKLANQ). In vitro assays measuring human ORL-1 receptor affinity (competition binding against [3H] NC), functional potency ([35S]GTP gamma S), and efficacy (as compared to NC) were performed for each new peptide. The receptor affinities of the Aib-containing peptides generally matched NC, showing K(i)'s in the range of 0.1-0.5 nM. By comparison, the receptor affinities of the MeAla-containing peptides were significantly diminished. Peptide 14 (FGGFTG[Aib]RKS[Aib]RKLANQ-NH2), which contains two constrained alanine residues (positions 7 and 11) and a C-terminal amide modification, was found to be a very potent agonist with K(i) = 0.05 nM and EC50 = 0.08 nM in the human ORL-1 assays. The data support a hypothesis that the receptor-bound form of NC might adopt an amphipathic helix in the "address" segment of the sequence.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.025
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.045
GPT teacher head0.257
Teacher spread0.213 · 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

Citations46
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medicinal ChemistrySame topicNeuropeptides and Animal PhysiologyFrench-language works237,207