Bibliographic record
Abstract
HIV-1 integrase (HIV-1 IN), a well-validated antiviral drug target, catalyzes multistep reactions to incorporate viral DNA into the genome of the host cell; these include both a 3'-processing (3'P) reaction and a strand transfer reaction. These enzymatic activities can be measured in vitro with short DNA oligonucleotides that mimic a single viral LTR DNA end and purified IN. A highly sensitive and reproducible time-resolved fluorescence (TRF)-based assay for HIV-1 IN 3'P activity is now reported. This assay was optimized with respect to time and concentrations of metal ions, substrate and enzyme. The assay has now been used successfully to measure HIV-1 IN 3'P activity and has been shown to detect the anti-IN activity of several known 3'P inhibition compounds accurately. This assay, which is amenable to high-throughput screening, will be useful for identification of additional HIV-1 IN 3'P inhibitors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".