MétaCan
Menu
Back to cohort
Record W2054795427 · doi:10.2174/156652309787354658

HIV-1 Gene Therapy at Pre-Integration and Provirus DNA Levels

2009· review· en· W2054795427 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

VenueCurrent Gene Therapy · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of Toronto
FundersOntario HIV Treatment Network
KeywordsProvirusGenetic enhancementIntegraseVirologyIntegrase inhibitorLentivirusBiologyVirusAntiretroviral therapyRNA interferenceReverse transcriptaseGeneMedicineImmunologyHuman immunodeficiency virus (HIV)Viral loadViral diseaseGenomeRNAGenetics

Abstract

fetched live from OpenAlex

AIDS is the result of infection by a lentivirus, HIV-1, which primarily infects CD4+ T cells and macrophages. There is presently no vaccine and none will be available in the foreseeable future. Highly active antiretroviral drug therapy has led to a dramatic reduction of viral load in many infected individuals, and has decreased mortality in the developing world. However, besides long-term drug toxicity and eventual emergence of drug-resistant strains, withdrawal from the therapy (even after effective and continuous treatment) results in re-emergence of the virus since cells harbouring the latent viral reservoirs persist. These issues highlight the need for alternative therapies, e.g. gene therapy. This review summarizes various gene therapy strategies that target early stages of HIV-1 life cycle. We will cover strategies that allow interference at the level of the released virion RNA, reverse transcriptase, pre-integration complex, integrase, dsDNA and provirus DNA in gene-modified cells.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.891
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.100
GPT teacher head0.394
Teacher spread0.294 · 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