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Record W2326722042 · doi:10.1021/jm200608k

Targeting the Prostaglandin F2α Receptor for Preventing Preterm Labor with Azapeptide Tocolytics

2011· article· en· W2326722042 on OpenAlexafffund
Carine B. Bourguet, Eugénie Goupil, Danaë Tassy, Xin Hou, Eryk Thouin, Felix Polyak, Terence E. Hébert, Audrey Claing, Stéphane A. Laporte, Sylvain Chemtob, William D. Lubell

Bibliographic record

VenueJournal of Medicinal Chemistry · 2011
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineMcGill UniversityUniversité de MontréalMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsChemistryPreterm laborProstaglandinProstaglandin analoguePreterm labourPharmacologyReceptorPregnancyBiochemistryGestationMedicine

Abstract

fetched live from OpenAlex

The prostaglandin-F2α (PGF2α) receptor (FP) was targeted to develop tocolytic agents for inhibiting preterm labor. Azabicycloalkane and azapeptide mimics 2-10 were synthesized based on the (3S,6S,9S)-indolizidin-2-one amino acid analogue PDC113.824 (1), which was shown to modulate FP by a biased allosteric mechanism, involving both Gαq- and Gα12-mediated signaling pathways, and exhibited significant tocolytic activity delaying preterm labor in a mouse model ( Goupil ; et al. J. Biol. Chem. 2010 , 285 , 25624 - 25636 ). Although changes in azabicycloalkane stereochemistry and ring size caused loss of activity, replacement of the indolizidin-2-one amino acid with azaGly-Pro and azaPhe-Pro gave azapeptides 6 and 8, which reduced PGF2α-induced myometrial contractions, potentiated the effect of PGF2α on Gαq-mediated ERK1/2 activation, and inhibited FP modulation of cell ruffling, a response dependent on the Gα12/RhoA/ROCK signaling pathway. Revealing complementarities of azabicycloalkane and azapeptide mimics, novel probes, and efficient tocolytic agents were made to study allosteric modulation of the FP receptor.

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 score0.218
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.253
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.

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

Citations31
Published2011
Admission routes2
Has abstractyes

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Same venueJournal of Medicinal ChemistrySame topicPreterm Birth and ChorioamnionitisFrench-language works237,207