Cover Feature: Synthetic Modular Antibody Construction by Using the SpyTag/SpyCatcher Protein‐Ligase System (ChemBioChem 22/2017)
Bibliographic record
Abstract
The cover feature picture shows a molecular toolkit for constructing synthetic antibodies. A new modular approach to post-translationally assemble antibody-like “devices” from well-behaved antibody domains or “parts” by using the Spytag/SpyCatcher protein ligase system is demonstrated. This toolkit allows antibody parts to be assembled in configurations that are not possible with genetic engineering approaches. We predict that this modular approach will create optimized antibody devices in less time and at reduced costs. More information can be found in the communication by C. R. Geyer et al. on page 2217 in Issue 22, 2017 (DOI: 10.1002/cbic.201700411).
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".