Cloning and Expression of a Truncated Form of the p72 Protein of the African Swine Fever Virus (ASFV) for Application in an Efficient Indirect ELISA System
Bibliographic record
Abstract
African swine fever (ASF) is a disease that affects both domestic and wild swine. It was recently reported in the Dominican Republic and Haiti (2021), representing a substantial risk to America. The goal of this study was to produce a truncated form of the ASF-p72 recombinant protein based on the ASF strain genotype II (Georgia 2017) as well as to develop and validate a sensitive and specific ASF indirect-ELISA (iELISA) for early detection of ASF. The truncated ASF-p72 recombinant protein was successfully expressed in E. coli BL21/DE3 cells using the pET-SUMO plasmid. Bioinformatics analysis showed 100% homology among the new isolates of ASFV from genotype II. The ASF-p72-truncated protein was used to develop an iELISA, which had a high sensitivity (88%) and strong specificity (97%); the concordance index kappa was K = 0.872, indicating nearly perfect agreement compared to the WOAH confirmatory immunoperoxidase test. The validation results utilizing the reference sera panel from the OIE-ASF Reference Laboratory show the excellent detection capabilities of ASF antibodies up to a 1:1000 serum dilution. The inter-assay coefficient of variation (CV 10.4%) and intra-assay CV (2.8%) data show that the assay is precise and reproducible. This biotechnology advancement can be used to conduct future epidemiological research for ASF surveillance in ASF-free American countries.
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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 | 0.000 |
| 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) | 0.000 | 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".