Variability in the PR and RT Genes of HIV-1 Isolated from Recently Infected Subjects
Bibliographic record
Abstract
To study variability in reverse transcriptase (RT) and protease (PR) genes of HIV-1 isolated from recently infected patients identified between 1997 and 2003, sequences were obtained on the RT and PR genes of viruses harvested from plasma of 121 non-treated subjects who had undergone primary HIV infection. The degree of dissimilarity between the viruses studied and a reference HIV-1 subtype B strain (LAV-1) was calculated for each of RT and PR by counting all of the nucleotide substitutions that could be identified. Mutations associated with drug resistance were excluded from analysis. We observed a mean percentage of variation in the RT and PR genes of the viruses analysed of 0.42% between the years 1997--2003 (P<0.01). In PR, the mean variation was 0.71% (P<0.05), while that in RT was 0.3% (P<0.05). Increased diversity was also observed among nucleotides conferring amino-acid changes, although no significant differences in patterns of nucleotide substitutions were apparent over the period of analysis. In conclusion, variability in the RT and PR genes of viruses from recently infected patients has increased over time in a manner that is independent of variability attributable to HIV drug resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".