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Record W2613216043

A novel non-Opioid binding site for endomorphin-1

2016· article· en· W2613216043 on OpenAlexfundno aff
Imre Lengyel, Fanni Tóth, Dauren Biyashev, Ildikó Szatmári, Krisztina Monory, Cs. Tömböly, Géza Tóth, Sándor Benyhe, Anna Borsodi

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsnot available
FundersHungarian Scientific Research FundMcGill University
KeywordsChemistry(+)-NaloxoneReceptorOpioid peptideOpioid receptorStereochemistryOpioidBinding siteBiophysicsBiochemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

Endomorphins are natural amidated opioid tetrapeptides with the following structure: Tyr-Pro-Trp-Phe-NH2 (endomorphin-1),and Tyr-Pro-Phe-Phe-NH2 (endomorphin-2). Endomorphins interact selectively with the µ-opioid or MOP receptors and exhibit nanomolar or sub-nanomolar receptor binding affinities,therefore they suggested to be endogenous agonists for the µ-opioid receptors. Endomorphins mediate a number of characteristic opioid effects,such as antinociception,however there are several physiological functions in which endomorphins appear to act in a fashion that does not involve binding to and activation of the µ-opioid receptor. Our recent data indicate that a radiolabelled [3H]endomorphin-1 with a specific radioactivity of 2.35 TBq/mmol - prepared by catalytic dehalogenation of the diiodinated peptide precursor in the presence of tritium gas - is able to bind to a second,naloxone insensitive recognition site in rat brain membranes. Binding heterogeneity,i.e.,the presence of higher (Kd = 0.4 nM/Bmax = 120 fmol/mg protein) and lower (Kd = 8.2 nM/Bmax = 432 fmol/mg protein) affinity binding components is observed both in saturation binding experiments followed by Schatchard analysis,and in equilibrium competition binding studies. The signs of receptor multiplicity,e.g.,curvilinear Schatchard plots or biphasic displacement curves are seen only if the non-specific binding is measured in the presence of excess unlabeled endomorphin-1 and not in the presence of excess unlabeled naloxone. The second,lower affinity non-opioid binding site is not recognized by heterocyclic opioid alkaloid ligands,neither agonists such as morphine,nor antagonists such as naloxone. On the contrary,endomorphin-1 is displaced from its lower affinity,higher capacity binding site by several natural neuropeptides,including methionine-enkephalin-Arg-Phe,nociceptin-orphanin FQ,angiotensin and FMRF-amide. This naloxone-insensitive,consequently non-opioid binding site seems to be present in nervous tissues carrying low density or no µ-opioid receptors,such as rodent cerebellum,or brain of µ-opioid receptor deficient (MOPr-/-) transgenic or ‘knock-out’ (K.O.) mice. The newly described non-opioid binding component is not coupled to regulatory G-proteins,nor does it affect adenylyl cyclase enzyme activity. Taken together endomorphin-1 carries opioid and,in addition to non-opioid functions that needs to be taken into account when various effects of endomorphin-1 are evaluated in physiological or pathologic conditions.

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 score0.002
Threshold uncertainty score0.007

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.049
GPT teacher head0.295
Teacher spread0.246 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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