Frontal Affinity Chromatography with MS Detection of EphB2 Tyrosine Kinase Receptor. 1. Comparison with Conventional ELISA
Bibliographic record
Abstract
FAC-MS offers a convenient method for measuring the relative binding strengths of ligands in a mixture and enables a rapid ranking and identification of ligands in the mixture as potential hits against immobilized targets. Using immobilized EphB2 receptor tyrosine kinase as the target and known kinase inhibitors, the results of FAC-MS screening (% shift) have been shown to correlate with the binding constant, K(d), and with IC(50) results from the more traditional ELISA assay. Therefore, since FAC-MS can accommodate a wide variety of target proteins, its applications could play a broad role in drug discovery not only at the hit discovery stage but also during the subsequent more rigorous screening at the hit-to-lead and lead optimization stages.
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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 | 0.001 |
| 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".