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Record W2337274085 · doi:10.1515/jbcpp-2015-0142

Modulation of l-α-lysophosphatidylinositol/GPR55 MAP kinase signalling by CB <sub>2</sub> receptor agonists: identifying novel GPR55 inhibitors

2016· article· en· W2337274085 on OpenAlexaff
Sharon Anavi‐Goffer, Andrew J. Irving, Ruth A. Ross

Bibliographic record

VenueJournal of Basic and Clinical Physiology and Pharmacology · 2016
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryPhosphorylationReceptorCannabinoid receptor type 2Cannabinoid receptorKinaseCannabinoidPharmacologyBiochemistryAgonistBiology

Abstract

fetched live from OpenAlex

BACKGROUND: GPR55 is a lipid-sensing G protein-coupled receptor that is activated by the endogenous lipid l-α-lysophosphatidylinositol (LPI) and can be modulated by certain cannabinoid ligands. METHODS: In this study we investigated the GPR55 activity of four synthetic CB2 receptor agonists using the AlphaScreen® SureFire® assay. RESULTS: Here we show that the CB2 receptor-selective agonists HU-308, HU-433 and HU-910 do not promote GPR55-mediated ERK1/2 phosphorylation up to a concentration of 3 μM. However, LPI-induced ERK1/2 phosphorylation is inhibited by the (-)-enantiomer of HU-308, designated HU-433, whereas HU-308 has no effect on LPI activity. The carboxylic analogue of HU-910, designated HU-914, potently inhibits LPI-induced ERK1/2 phosphorylation; however, HU-914 was less effective, with potential biphasic effects. CONCLUSIONS: This structure-activity-relationship study has identified novel ligands which act both as CB2 receptor agonists and GPR55 modulators and related compounds that lack GPR55 activity.

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)0.000
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 score0.058
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.350
Teacher spread0.322 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Basic and Clinical Physiology and PharmacologySame topicCannabis and Cannabinoid ResearchFrench-language works237,207