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Record W2019518442 · doi:10.2174/1570162052772924

HIV-1 TAR RNA: The Target of Molecular Interactions Between the Virus and its Host

2005· review· en· W2019518442 on OpenAlexfundno aff
Sylvie Bannwarth, Anne Gatignol

Bibliographic record

VenueCurrent HIV Research · 2005
Typereview
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsRNAP-TEFbBiologyCell biologyViral replicationtar (computing)HIV Long Terminal RepeatRNA silencingRNA-induced silencing complexRNA-dependent RNA polymeraseChemistryVirusRNA interferenceVirologyGene expressionBiochemistryGeneLong terminal repeat

Abstract

fetched live from OpenAlex

HIV-1 TAR RNA is the binding site of the viral protein Tat, the trans-activator of the HIV-1 LTR. It is present at the 5' end of all HIV-1 spliced and unspliced mRNAs in the nucleus as well as in the cytoplasm. It has a highly folded stem-bulge-loop structure, which also binds cellular proteins to form ribonucleoprotein complexes. The Tat-Cyclin T1-CDK9 complex is the main component in the trans-activation of HIV-1 and its affinity for TAR is regulated through Tat acetylation by histone acetyl transferases. Recent studies show that this complex is able to recruit other cellular partners to mediate efficient transcriptional elongation. TRBP, PKR and La bind directly to the TAR RNA structure and influence translation of HIV-1 in either positive or negative manners. Some mutations in TAR RNA severely impair HIV-1 trans-activation, translation and viral production, showing its functional importance. The overexpression or suppression of several TAR RNA-binding proteins has a strong impact on viral replication pointing out their major role in the viral life cycle. TAR RNA has been the target of drug development to inhibit viral replication. Recent data using small molecules or RNA-based technologies show that acting on the TAR RNA or on its viral and cellular binding factors effectively decreases virion production.

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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
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
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.007

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 head0.157
GPT teacher head0.452
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

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

Citations189
Published2005
Admission routes1
Has abstractyes

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