HIV-1 Reverse Transcriptase Inhibitors: Beyond Classic Nucleosides and Non-Nucleosides
Bibliographic record
Abstract
Reverse transcriptase (RT) of HIV-1 remains an important target in current treatments of HIV-1 infection. Clinically available inhibitors of HIV-1 RT include nucleoside analog RT inhibitors and non-nucleoside RT inhibitors. Nucleoside analog RT inhibitors compete with the natural dNTP substrate and act as chain terminators, while non-nucleoside RT inhibitors bind to an allosteric pocket, inhibiting polymerization noncompetitively. In addition to these two classes of approved drugs, there are a number of RT inhibitors that target the enzyme in different ways. These include nonobligate chain terminators, nucleotide-competing RT inhibitors, pyrophosphate analogs and compounds that inhibit the RT-associated RNase H activity. Here, we review the mechanisms of action associated with these compounds and discuss opportunities and challenges in drug discovery and development efforts.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".