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Record W2111894430 · doi:10.1007/1-4020-2593-9_5

Large Arf GEFs of the Golgi Complex

2006· book-chapter· en· W2111894430 on OpenAlexaff
Paul Melançon, Xinhua Zhao, Troy K. R. Lasell

Bibliographic record

VenueKluwer Academic Publishers eBooks · 2006
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGolgi apparatusCOPICell biologyBiologyClathrinSignal transducing adaptor proteinSecretory pathwayVesicleEndoplasmic reticulumBiochemistrySignal transductionMembrane

Abstract

fetched live from OpenAlex

Class I and class II Arfs localize to the Golgi complex where they activate lipid-modifying enzymes and also promote the recruitment of several coat proteins implicated in the sorting of cargo into budding transport vesicles. Three families of large GEFs spatially and temporally regulate Arf activation in this organelle. GBF1, a BFA-resistant GEF with specificity for Class II Arfs in vitro, localizes to cis-compartments of the Golgi and appears to regulate assembly of the COPI coat. In contrast, BIG1 and BIG2 are BFA-sensitive GEFs that concentrate on trans-compartments where they control the recruitment of clathrin adaptor proteins. BRAG1, a representative of the third family, is confined to early Golgi compartments, but unlike GBF1 displays broader Arf substrate specificity. These large GEFs are likely multidomain proteins with complex interactions responsible for regulating activity, membrane association and possibly the selection of downstream effectors. Ongoing efforts in several laboratories focus on the identification of partners for these GEFs.

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 score0.021
Threshold uncertainty score0.071

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.024

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 head0.016
GPT teacher head0.220
Teacher spread0.204 · 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

Citations13
Published2006
Admission routes1
Has abstractyes

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