A Spike-Accum bioconjugate protein vaccine confers potent SARS-CoV-2-specific immunity
Bibliographic record
Abstract
Despite the recent control of COVID-19, the devastating effects caused by the 3-year pandemic highlight the importance of developing effective vaccines to rapidly address future outbreaks. The present study describes a novel Spike (Sp) protein-based vaccine formulation using the Accum platform. Although Sp-Accum bioconjugation does not alter the overall protein structure, it triggers a substantial antibody titer: i) exhibiting higher specificity toward the S1 domain of Sp, ii) neutralizing Sp-ACE2 interactions, and iii) cross-reacting with various Sp variants. Besides validating the vaccine immunogenicity in rabbits, its administration in a "gold-standard" SARS-CoV-2 hamster model was shown to be safe while accelerating viral clearance without eliciting signs of pathological inflammation in the lungs of infected animals. Altogether, this proof-of-concept study not only demonstrates once again the versatility of the Accum technology in vaccine engineering, but it provides an enabling technology for the rapid development of value-added, protein-based vaccines for future pandemics.
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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".