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Record W3171868404 · doi:10.1139/cjc-2020-0429

Semi-synthesis of novel buprenorphine derivatives and their anti-nociceptive properties and dependency potential

2021· article· en· W3171868404 on OpenAlexvenueno aff
Zahra Hasanpour, Peyman Salehi, Lennart Bunch, Mona Khoramjouy, Morteza Bararjanian, Dan Stærk, Mehrdad Faizi

Bibliographic record

VenueCanadian Journal of Chemistry · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPharmacological Receptor Mechanisms and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryBuprenorphineDependency (UML)NociceptionStereochemistryPharmacologyCombinatorial chemistryOpioidBiochemistryReceptor

Abstract

fetched live from OpenAlex

Novel 1,2,3-triazole-tethered N-norbuprenorphine derivatives with an OMe or OH group at the C3 position were synthesized alongside with evaluation of their analgesic properties. The analgesic activities of the resulting library were investigated via tail flick test in mice. Our results indicated that 10b and 10e were as effective as the starting compounds 8 and 9 with ED 50 equal to 16.59 and 19.44 mg/kg, respectively. To investigate the effect of a methyl group at C3 on biological properties, the most active compounds were O-demethylated and their anti-nociceptive effects were assessed. The new O-demethylated derivatives (11b and 11e) showed better analgesic properties than the parent compounds with ED 50 of 14.73 and 15.80 mg/kg, respectively. Naloxone prevented the analgesic effect of the synthesized compounds, indicating that the opioid receptors are highly involved in the anti-nociceptive effects. The potential dependency effects of the most potent derivatives were studied by condition place preference test in mice and compared with morphine and buprenorphine. Interestingly, 10b, 10e, 11b, and 11e did not show any dependency effect, similar to buprenorphine.

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)0.000
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 score0.004
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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