MétaCan
Menu
Back to cohort
Record W2151871001 · doi:10.1081/lpr-200029889

Effects of D‐Myo‐Inositol 1‐Phosphate on the Transfer Function of Phosphatidylinositol Transfer Protein α

2004· article· en· W2151871001 on OpenAlexfundno aff
Hiroaki Komatsu, Jan Westerman, Gerry T. Snoek, Theodore F. Taraschi, Nathan Janes

Bibliographic record

VenueJournal of Liposome Research · 2004
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsnot available
FundersNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthInstitut Périmètre de physique théorique
KeywordsPhosphatidylinositolPhospholipidPhosphatidylethanolamineMembranePlant lipid transfer proteinsInositolPhospholipid transfer proteinChemistryBiophysicsBiochemistryLiposomeMembrane proteinMicrosomePhosphateIn vitroBiologyReceptorPhosphatidylcholinePhosphorylation

Abstract

fetched live from OpenAlex

The lipid metabolite D-myo-inositol-1-phosphate is shown to increase the phospholipid transfer activity of phosphatidylinositol transfer protein alpha from liposomal and liver microsomal membranes. Dose-response curves indicated substantial enhancements of transfer in the low mM range that upon normalization were independent of membrane composition or the identity of the transferred phospholipid. The unnormalized effect is potentiated by anionic membrane surface charge and substantial membrane phosphatidylethanolamine content consistent with alterations of the protein's membrane binding affinity and alterations of surface electrostatic interactions as contributing factors.

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.297
Teacher spread0.270 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Liposome ResearchSame topicDrug Transport and Resistance MechanismsFrench-language works237,207