MétaCan
Menu
Back to cohort
Record W1996997652 · doi:10.1002/ddr.1202

β‐phenylethylidenehydrazine, a novel inhibitor of GABA transaminase

2001· article· en· W1996997652 on OpenAlexaff
Teresa Paslawski, Edward E. Knaus, Nadeem Iqbal, Ronald T. Coutts, Glen B. Baker

Bibliographic record

VenueDrug Development Research · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhenothiazines and Benzothiazines Synthesis and Activities
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGABA transaminasePhenelzineMonoamine oxidaseClorgylinePharmacologyChemistryAntidepressantNeurotransmitterMetaboliteTetrabenazineEndocrinologyInternal medicineBiochemistryMedicineDopamineEnzymeReceptorHippocampusGlutamate decarboxylase

Abstract

fetched live from OpenAlex

Abstract Phenylethylidenehydrazine (PEH), a proposed metabolite of phenelzine (PLZ), was synthesized in our laboratories and administered to rats in a series of time‐ and dose–response studies. Phenelzine is a monoamine oxidase (MAO) inhibiting antidepressant/antipanic drug that also causes marked elevations of brain levels of the inhibitory neurotransmitter (γ‐aminobutyric acid (GABA). Like PLZ, PEH inhibited GABA transaminase (GABA‐T) and caused marked, long‐lasting increases in rat brain levels of GABA. The addition of the double bond in PEH caused a marked decrease in its ability to inhibit MAO compared to PLZ. Given the ability of PEH to elevate GABA levels and its lack of significant effect on MAO, it may be a very effective and safe tool with which to study the role of GABA in anxiety disorders and may be a potentially useful compound to test against seizures, ischemia, mania, and stroke. Drug Dev. Res. 54:35–39, 2001. © 2001 Wiley‐Liss, Inc.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.048
GPT teacher head0.320
Teacher spread0.273 · 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

Citations26
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueDrug Development ResearchSame topicPhenothiazines and Benzothiazines Synthesis and ActivitiesFrench-language works237,207