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Roles of Pr55 <sup> <i>gag</i> </sup> and NCp7 in tRNA <sub>3</sub> <sup>Lys</sup> Genomic Placement and the Initiation Step of Reverse Transcription in Human Immunodeficiency Virus Type 1

2000· article· en· W2133308157 on OpenAlexaff
Shan Cen, Ahmad Khorchid, Juliana Gabor, Liwei Rong, Mark A. Wainberg, Lawrence Kleiman

Bibliographic record

VenueJournal of Virology · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsReverse transcriptaseBiologyPrimer binding siteRNATransfer RNAMolecular biologyTranscription (linguistics)RNA-Directed DNA PolymerasePrimer (cosmetics)Group-specific antigenVirusVirologyGeneticsGeneChemistry

Abstract

fetched live from OpenAlex

To study in vivo tRNA(3)(Lys) genomic placement and the initiation step of reverse transcription in human immunodeficiency virus type 1, total viral RNA isolated from either wild-type or protease-negative (PR(-)) virus was used as the source of primer tRNA(3)(Lys)/genomic RNA templates in an in vitro reverse transcription assay. At low dCTP concentrations, both the rate and extent of the first nucleotide incorporated into tRNA(3)(Lys), dCTP, were lower with PR(-) than with wild-type total viral RNA. Transient in vitro exposure of either type of primer/template RNA to NCp7 increased PR(-) dCTP incorporation to wild-type levels but did not change the level of wild-type dCTP incorporation. Exposure of either primer/template to Pr55(gag) had no effect on initiation. These results indicate that while Pr55(gag) is sufficient for tRNA(3)(Lys) placement onto the genome, exposure of this complex to mature NCp7 is required for optimum tRNA(3)(Lys) placement and initiation of reverse transcription.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations48
Published2000
Admission routes1
Has abstractyes

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