Production and Characterization of a Monoclonal Antibody to <i>Francisella tularensis</i> Lipopolysaccharide
Bibliographic record
Abstract
Having the capacity to detect and identify pathogens that can be employed in a bioterror attack is critical from both a public health and defence perspective. Immunodiagnostic assays are useful tools for enhancing such detection capabilities. In order to develop an immunodiagnostic assay for the detection of Francisella tularensis, a murine monoclonal antibody (MAb) was developed, using the live vaccine strain (LVS) of F. tularensis as the inoculating antigen. A single MAb, F94G2-1, which is specific for the lipopolysaccharide (LPS) of this bacterium was developed and characterized. An indirect ELISA using purified LPS was effective in determining reactivity of the MAb against its target. An immunodotblot and a manually printed antigen microarray were also tested as suitable detection methods. Both assays showed that MAb F94G2-1 has excellent specificity for F. tularensis LPS and demonstrate the utility of using the same MAb in a variety of immunodiagnostic applications.
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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".