Incorporation of epitope-tagged viral σ3 proteins to reovirus virions
Bibliographic record
Abstract
Tagging of viral capsid proteins is a powerful tool to study viral assembly; it also raises the possibility of using viral particles to present exogenous epitopes in vaccination or gene therapy strategies. The ability of reoviruses to induce strong mucosal immune response and their large host range and low pathogenicity in humans are some of the advantages of using reoviruses in such applications. In the present study, the feasibility of introducing foreign epitopes, "tags", to the sigma3 protein, a major component of the reovirus outer capsid, was investigated. Among eight different positions, the amino-terminal end of the protein appeared as the best location to insert exogenous sequences. Additional amino acids at this position do not preclude interaction with the micro1 protein, the other major constituent of the viral outer capsid, but strongly interfere with micro1 to micro1C cleavage. Nevertheless, the tagged sigma3 protein was still incorporated to virions upon recoating of infectious subviral particles to which authentic sigma3 protein was removed by proteolysis, indicating that micro1 cleavage is not a prerequisite for outer capsid assembly. The recently published structure of the sigma3- micro1 complex suggests that the amino-terminally inserted epitope could be exposed at the outer surface of viral particles.
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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 | 0.001 |
| 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".