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Record W2053946455 · doi:10.2174/1570159043476800

Amine Oxidase Inhibitors and Development of Neuroprotective Drugs

2004· article· en· W2053946455 on OpenAlexaff
Bernard Sowa, Kathryn G. Todd, A. I Tanay, Andrew Holt, Glen B. Baker

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
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

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

Citations16
Published2004
Admission routes1
Has abstractyes

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