Enveloped virus-like particles as a platform for vaccine development
Bibliographic record
Abstract
Vaccination is the most effective approach in preventing and controlling the global public health threat of infectious diseases. Enveloped virus-like particles (eVLPs) offer advantages over other subunit vaccines because of their self-adjuvanting properties. Their optimal size and particulate structure activate antigen-presenting cells. The flexibility in manufacturing, applications, and advantages for preventing or treating disease are highlighted by the vaccine candidates described in this review. Previous preclinical and clinical studies demonstrated the immunogenicity of two eVLP vaccine candidates designed to protect against cytomegalovirus. The expression of viral envelope proteins in the eVLPs induces a robust neutralizing antibody response, which is considered a correlate of protection in many viral infections. VBI has developed two vaccine candidates against SARS CoV2, VBI-2902a, and VBI-2905a. Ongoing clinical development of these vaccine candidates will assess human safety and immunogenicity, after one or two doses in previously vaccinated and unvaccinated, individuals (NCT04773665).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 teacher head, 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".