Monoclonal antibodies binding data for SARS-CoV-2 proteins
Bibliographic record
Abstract
SARS-CoV-2 pandemic opens up the curiosity of understanding the coronavirus. This demand for the development of the regent, which can be used for academic and therapeutic applications. The present data provide the biochemical characterization of synthetically developed monoclonal antibodies for the SARS-CoV-2 proteins. The antibodies from phage-displayed antibody libraries were selected with the SARS-CoV-2 proteins immobilized in microwell plates. The clones which bind to the antigen in Fab-phage ELISA were selected, and a two-point competitive phage ELISA was performed. Antibodies binding kinetic of IgGs for SARS-CoV2 proteins further carried with B.L.I. Systematic analysis of binding with different control proteins and purified SARS-CoV-2 ensured the robustness of the antibodies.
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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 | 0.001 | 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 | 0.002 | 0.005 |
| 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".