Adjuvanted vaccine components: Analysis of structure and stability
Bibliographic record
Abstract
An HLA-A2.1 transgenic rabbit /Cottontail rabbit papillomavirus (CRPV) infection model has been reported previously. In this study, we incorporated online MHCI epitope prediction software and HLA-A2.1 transgenic mouse and rabbit systems together to demonstrate an efficient way to identify and test immunogenicity of two HLA-A2.1 restricted epitopes from CRPVE1 (161-169 LLFRQAHSV and 303-311 MLQEKPFQL). Both epitopes were able to induce specific cytotoxic CD8 T cells in HLA-A2.1 mice and rabbits after peptide and DNA immunization and in vitro stimulation respectively. Using an epitope DNA vaccination method, we achieved partial and complete protection against CRPV DNA challenge by CRPVE1/161-169 and CRPVE1/303-311 respectively in HLA-A2.1 transgenic outbred rabbits. CRPVE1/303-311 also showed strong and specific therapeutic effects in CRPV-infected HLA-A2.1 transgenic outbred rabbits. Interestingly, epitope CRPVE1/303-311 (but not E1/161-169) showed strong protective immunity in non-transgenic EIII/JC inbred (but not outbred) NZW rabbits. Our data demonstrates an efficient way to identify HLA-A2.1 restricted epitopes for the development of prophylactic and therapeutic vaccines.
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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".