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Record W2053946455 · doi:10.2174/1570159043476800

Amine Oxidase Inhibitors and Development of Neuroprotective Drugs

2004· article· en· W2053946455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Neuropharmacology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNeuroprotectionMonoamine oxidaseAmine oxidasePhenelzinePharmacologyExcitotoxicityChemistryOxidative stressMedicineBiochemistryGlutamate receptorEnzyme

Abstract

fetched live from OpenAlex

Monoamine oxidase (MAO) inhibitors continue to be used for treatment of a number of psychiatric and neurologic disorders. In recent years, inhibitors of MAO and other amine oxidases have received considerable attention because of their neuroprotective and neurorescue effects in such models as oxygen-glucose deprivation in vitro, thiamine deficiency, NMDA-instigated excitotoxicity, free radical-mediated oxidative stress, cerebral ischemia, and experimental models of Alzheimers and Parkinsons Diseases. This review focuses on the MAO inhibitors l-deprenyl, tranylcypromine and phenelzine and the possible mechanisms underlying their neuroprotective actions. In addition, there is a discussion of analogs of phenelzine and l-deprenyl as inhibitors of other amine oxidases, including semicarbazide-sensitive amine oxidase (SSAO), and their possible involvement in neuroprotection. Keywords: neuroprotection, neurorescue, l-deprenyl, amine oxidase, semicarbazide-sensitive amine oxidase, phenelzine, phenylethylidenehydrazine

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.

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 score0.110
Threshold uncertainty score0.529

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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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