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Record W2181311809 · doi:10.82308/21478

Interactions of p24 proteins characterized by yeast two-hybrid, mutagenesis, and overexpression

2009· article· en· W2181311809 on OpenAlexfundno aff
Elaine Li Yen Tan

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersMcGill UniversityNational Science Foundation
KeywordsYeastMutagenesisGeneticsGeneBiologyMutation

Abstract

fetched live from OpenAlex

Les abondantes protéines de la famille p24 sont conservées dans l’évolution et circulent dans la voie sécrétoire précoce, mais leurs fonctions cellulaires sont encore mal définies. Ils sont dispensables chez la levure, mais un knock-out de p23 est létal embryonnaire chez la souris. De plus, p23 est impliqué dans la pathogénèse de la maladie d’Alzheimer. Les protéines p24 peuvent former des hétéro-complexes. Dans cette étude, les interactions des p24s sont déterminées par double hybride. Elles sont spécifiques et se font surtout par leur domaine GOLD avec une contribution de leur séquence DOG. Les expériences de mutagénèse révèlent que deux p24s interagissent différemment avec un p24 commun. La co-surexpression de certains p24s dans la levure cause la mort ou l’élargissement des cellules. Je propose que les protéines p24s participent dans le transport des protéines à ancrage GPI impliquées dans l’entretien de la paroi cellulaire et dans les voies du cycle cellulaire.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.001

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 head0.011
GPT teacher head0.239
Teacher spread0.227 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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