QUASI analysis of the HIV-1 envelope sequences in the Los Alamos National Laboratory HIV sequence database: pattern and distribution of positive selection sites and their frequencies over yearsThis paper is one of a selection of papers in this Special Issue, entitled International Symposium on Recent Advances in Molecular, Clinical, and Social Medicine, and has undergone the Journal's usual peer-review process.
Bibliographic record
Abstract
The envelope (env) protein of human immunodeficiency virus type 1 (HIV-1) plays a crucial role in virus entry and is a central target for HIV vaccine design. Using the QUASI program, we analyzed the conserved regions of all currently available env sequences in the Los Alamos National Laboratory HIV Sequence Database and identified positive selection (PS) sites that are likely to be restricted by host immune responses. We found that PS sites are dispersed across conserved regions of env sequence, and that the C3, C4, and C5 regions were the most targeted. Several regions were identified as being PS free and were mainly distributed in the C1 and C2 regions. When comparing individual QUASI PS site frequencies across clades and geographical regions with the overall frequency of the entire env database, the env sequences from North America showed significantly lower PS site frequency, while those from Asia were significantly higher using Student's t test. The QUASI PS site frequency of env proteins from viruses isolated from different years showed that the PS site frequencies of the env population increased over time. Our study provides an overview of PS sites across the conserved regions of HIV-1 env sequences.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".