Multiple T-cell epitopes overlap positively-selected residues in the p1 spacer protein of HIV-1 gag
Bibliographic record
Abstract
OBJECTIVES: The p1 region of HIV-1 gag contains the frameshift stem-loop, gag-pol transframe and a protease cleavage site that are crucial for viral assembly, replication and infectivity. Identifying and characterizing CD8+ epitopes that are under host immune selection in this region will help in designing effective vaccines for HIV-1. DESIGN: An approach combining bioinformatical analysis and interferon gamma enzyme-linked immunosorbent spot (ELISPOT) assays is used to identify and characterize the epitopes. Potential human leukocyte antigen (HLA)-restricted epitopes were identified by correlating the positively-selected mutations with host HLA alleles. METHODS: ELISPOT analysis with overlapping peptides was used to confirm and characterize the epitopes. RESULTS: Four positively-selected residues were significantly associated with HLA class I alleles, including HLA B*1302 (K4R, P = 0.0008 and I5L, P = 0.0108), A*7401 (S9N, P = 0.0002) and A*30 genotypes (P7S, P = 0.009), suggesting epitopes restricted by these alleles are present in this region. ELISPOT analysis with patient peripheral blood mononuclear cells (PBMCs) identified seven novel epitopes restricted by the 3 alleles. Two types of epitopes were observed in this region based on the ELISPOT responses, Type I: the positively-selected variation does not affect CD8+ T-cell responses; and Type II: the CD8+ T-cell responses are determined by the epitope variants. CONCLUSION: We identified and characterized seven novel CD8+ epitopes in the p1 spacer protein region. Classifying the effects of positively-selected variants on CD8+ T-cell responses will help in designing effective vaccines for HIV-1.
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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 | 0.000 | 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 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".