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Record W1991343407 · doi:10.1051/medsci/20062267626

Synergie entre les complexes de transcription et de maturation des ARN messagers

2006· review· fr· W1991343407 on OpenAlexaff
Amélie Parent, Martin Bisaillon

Bibliographic record

Venuemédecine/sciences · 2006
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMolecular biologyBiologyHumanitiesChemistryPhilosophy

Abstract

fetched live from OpenAlex

Processing of eukaryotic pre-mRNAs is an important step for the translation of proteins. These processing events include the addition of a cap structure at the 5' terminus of the pre-mRNA, the splicing out of introns and the acquisition of a polyadenosine tail at the 3' terminus of the pre-mRNA. It has now become apparent that the RNA processing events can significantly influence each other. RNA polymerase II appears as a key player in these processes, cooperating with numerous processing factors that are involved in capping, splicing, and polyadenylation. More specifically, the carboxyterminal domain of the large subunit of the enzyme plays a critical role in coordination of the processing events. The number of interactions between the various RNA processing events identified so far reflects the complexity of these reactions. As more studies focus on these interactions, additional links and cellular partners will undoubtedly be discovered.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.356
Teacher spread0.302 · 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 teacher head, not a consensus.

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

Citations4
Published2006
Admission routes1
Has abstractyes

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