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Record W2060465438 · doi:10.2741/3110

Modulating HIV-1 RNA processing and utilization

2008· review· en· W2060465438 on OpenAlexaff
Meredith McLaren

Bibliographic record

VenueFrontiers in bioscience · 2008
Typereview
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProvirusPolyadenylationRNARNA splicingTranslation (biology)Computational biologyViral replicationBiologyMechanism (biology)Human immunodeficiency virus (HIV)Transcription (linguistics)Cell biologyVirologyVirusMessenger RNAGeneticsGenePhysics

Abstract

fetched live from OpenAlex

Expression of the integrated HIV-1 provirus is achieved by overcoming multiple barriers to the processing, transport and utilization of the viral RNA. Some of the strategies involve viral encoded proteins (i.e. Rev, Gag). However, in large part it is host factors that play essential roles in the movement of HIV-1 RNA from the site of transcription to its ultimate encapsidation into new virions. Identifying these factors and their mechanism of action provides not only important insights into HIV-1 molecular biology but also that of the cell machinery itself. In this review, we highlight the viral and host factors regulating the splicing, polyadenylation, transport, and translation of HIV-1 RNA. The observations made underline the multiple fate decisions that must be made at each stage of the viral RNA metabolic pathway and highlight potential new avenues for controlling HIV-1 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.062
GPT teacher head0.331
Teacher spread0.269 · 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

Citations33
Published2008
Admission routes1
Has abstractyes

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