A new triple chimeric protein as a high immunogenic antigen against anthrax toxins: theoretical and experimental analyses
Bibliographic record
Abstract
Background: Anthrax is a zoonotic disease caused by Bacillus anthracis and it can be deadly in 6 days. Considerable efforts have been conducted toward developing more effective veterinary and human anthrax vaccines because these common vaccines have several limitations. B. anthracis secretes a tripartite toxin, comprising protective antigen (PA), edema factor (EF), and lethal factor (LF). Several studies have shown important role of PA in protection of anthrax. LF and EF induce production of toxin neutralizing antibodies too. PA in fusion form with LF/EF has synergistic effects as a potential subunit vaccine.Methods: In this study, for the first time, a triple chimeric protein called ELP was modeled by fusing three different domains of anthrax toxic antigens, the N-terminal domains of EF and LF, and the C-terminal domain of PA as a high immunogenic antigen using Modeller 9.19 software. Immunogenicity of the ELP was assessed in guinea pigs using enzyme-linked immunosorbent assay (ELISA) test and MTT assay.Results: Theoretical studies and molecular dynamics (MD) simulation results suggest that the ELP model had acceptable quality and stability. Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis of the purified ELP, its domains, and PA were matched with their molecular size and confirmed by western blotting analysis. In the immune guinea pigs, antibody was produced against all of the ELP domains. It was observed that ELP induced strong humoral response and could protect murine macrophage cell line (RAW 264.7 cells) against anthrax lethal toxin (LeTx).Conclusions: ELP chimeric antigen could be considered as a high immunogenic antigen.
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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".