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Record W2279906559 · doi:10.1139/jpn.0261

Drug-metabolizing cytochrome P450s in the brain

2002· review· en· W2279906559 on OpenAlexaffvenue
Sharon Miksys, Rachel F. Tyndale

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2002
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsBrain functionCytochrome P450NeuroscienceBiologyDrug metabolismBrain chemistryFunction (biology)DrugBioinformaticsPharmacologyMetabolismGeneticsEndocrinology

Abstract

fetched live from OpenAlex

Most CYP subfamilies have been identified in brain, but there is much more information available on the distribution and metabolic activity of CYP subfamilies in brain of rodents than in humans, and what we do know still lags far behind our knowledge of hepatic CYPs. With the constant acquisition of data on the genetics, molecular structure and metabolic capacity of brain CYPs, we are increasingly able to investigate their role in the brain and the possible consequences of altered local metabolism. However, at this stage, the contribution of brain CYPs to local metabolism of drugs, toxins and endogenous compounds is still speculative, as is the role for these CYPs in modulating brain function and in the development of brain diseases. Much investigative work remains to be done to firmly establish the links between the presence of CYPs in brain, their function in this highly heterogeneous and complex organ and the consequences on overall brain function and health.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.005

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 head0.174
GPT teacher head0.471
Teacher spread0.297 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations162
Published2002
Admission routes2
Has abstractyes

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