Front Cover: Early‐Stage Incorporation Strategy for Regioselective Labeling of Peptides using the 2‐Cyanobenzothiazole/1,2‐Aminothiol Bioorthogonal Click Reaction (ChemistryOpen 3/2018)
Bibliographic record
Abstract
The Front Cover shows an innovative methodology for the regioselective labeling of peptides. Early-stage incorporation of a clickable handle during SPPS provides flexibility for the functionalization of peptide-based targeting vectors. Once the click handle has been ideally positioned, an imaging probe is conjugated to the targeting vector by 2-cyanobenzothiazole (CBT)/1,2-aminothiol cycloaddition. This key reaction is as easy as just “one click”. The labeling reaction is rapid, biocompatible, orthogonal, and highly efficient. It offers a nearly ideal labeling strategy for peptides and a powerful tool for the development of novel imaging agents for biomedical applications. More information can be found in the Communication by K.-T. Chen et al. on page 256 in Issue 3, 2018 (DOI: 10.1002/open.201700191).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.116 | 0.047 |
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 source (direct Gemma or distilled Codex), 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".