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Record W2038257532 · doi:10.1101/sqb.2001.66.293

The mRNA Closed-loop Model: The Function of PABP and PABP-interacting Proteins in mRNA Translation

2001· review· en· W2038257532 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCold Spring Harbor Symposia on Quantitative Biology · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsTranslation (biology)Poly(A)-binding proteinMessenger RNAEukaryotic translationTranslational regulationCell biologyBiologyGene expressionGeneRegulation of gene expressionMolecular biologyChemistryGenetics

Abstract

fetched live from OpenAlex

Translational control is an important means by whichcells govern gene expression. It provides a rapid responseto growth and proliferation stimuli and plays a role incontrolling feedback mechanisms in the cell. In systemswith little or no transcriptional control (e.g., reticulocytesand oocytes), translation is the predominant mode of regulation of gene expression (for review, see Mathews et al.2000). Initiation, the rate-limiting step of translation, isoften the target of translational control. All nuclear-transcribed eukaryotic mRNAs possess a 5′ cap (m7GpppN,where m is a methyl group and N is any nucleotide), andmost possess a 3′ poly(A) tail. The focus of this paper isthe role of the poly(A) tail and the poly(A)-binding protein (PABP) in translation initiation. Such an analysis requires a brief introduction of translation initiation and itscontrol...

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.987
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.057
GPT teacher head0.352
Teacher spread0.295 · 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