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Record W2065129965 · doi:10.1051/medsci/20062211969

Quand une structure particulière de l’ARN du VIH-1 conduit à un décalage de phase : perspectives pour le traitement de l’infection par le VIH

2006· review· fr· W2065129965 on OpenAlexaff
Dominic Dulude, Léa Brakier‐Gingras

Bibliographic record

Venuemédecine/sciences · 2006
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFrameshift mutationTranslational frameshiftStem-loopMessenger RNARNABiologyMolecular biologyGeneticsGeneMutation

Abstract

fetched live from OpenAlex

Ribosomal frameshift is used by HIV-1 to synthesize the precursor of its enzymes. The frameshift stimulator is a peculiar structure in the viral messenger RNA coding for this precursor, which increases the probability that this frameshift occurs. It was proposed to be either a triplex structure or an irregular stem-loop. Recently, two NMR groups independently showed that the frameshift stimulatory signal of HIV-1 is an extended stem-loop, with an internal three-purine bulge separating two helical regions. However, it remains unclear how such a structure promotes frameshifting. It is proposed that frameshifting results from a specific interaction between the stimulatory signal and either a hypothetical protein factor or the ribosome. The characterization of the structure of the frameshift stimulatory signal paves the way to the rational design of novel antiviral drugs, which, by binding to this signal, could interfere with frameshifting and viral replication.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.033
GPT teacher head0.303
Teacher spread0.271 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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