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Record W124813241 · doi:10.2144/02332ht03

Nonradioactive Detection of Retroviral- Associated RNase H Activity in a Microplate-Based, High-Throughput Format

2002· article· en· W124813241 on OpenAlexafffund
N. McLellan, Xin Wei, B Marchand, Mark A. Wainberg, Matthias Götte

Bibliographic record

VenueBioTechniques · 2002
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsRNase HReverse transcriptaseBiotinylationRNase POligonucleotideMolecular biologyBiologyRNA-Directed DNA PolymeraseDNAHigh-throughput screeningEnzymeStreptavidinBiochemistryRNAChemistryBiotin

Abstract

fetched live from OpenAlex

None of the available antiretroviral drugs that are currently used in the clinic to treat infection with HIV-1 is directed against the RNase H active site of the reverse transcriptase. Here we developed a nonradioactive, 96-well plate assay designed to be used for high-throughput screening of compounds capable of inhibiting the RNase H activity of HIV-1 reverse transcriptase. We employed a tRNA as substrate that was labeled with digoxygenin-modified reporter residues. The labeled tRNA was prehybridized with a DNA oligonucleotide that contained a single biotinylated residue at its 5'-terminus to ensure its attachment to streptavidin-coated microplates. The uncleaved, immobilized DNA/tRNA substrate was detected through the use of established ELISA protocols. Incubation with purified HIV-1 reverse transcriptase initiated RNase H degradation and caused a signal reduction to negligible background levels. In contrast, the signal intensity remained unaffected when using an RNase H deficient mutant enzyme. The assay was validated using the hydrazone derivative BBNH that was previously shown to inhibit RNase H degradation below concentrations of 10 microM.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.060
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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 teacher head, 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

Citations12
Published2002
Admission routes2
Has abstractyes

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