Cover Picture: In Vivo Screening Identifies a Highly Folded β‐Hairpin Peptide with a Structured Extension (ChemBioChem 8/2007)
Bibliographic record
Abstract
The cover picture shows the NMR‐derived structure of a β‐hairpin peptide that was identified through a fluorescence‐based screen in live cells. A Petri dish covered in colonies of E. coli expressing recombinant fluorescent proteins was illuminated by ultraviolet light. Each bacterial colony expresses a single protein composed of a tandem fusion of a cyan (CFP) and a yellow (YFP) fluorescent protein. As shown in ribbon representations, peptide sequences are fused between these CFP and YFP units. Peptides that fold into β‐hairpin structures tend to bring the two fluorescent proteins into closer proximity, and thus a higher FRET signal is observed. Residues in the green portions of the peptides were randomized to create libraries of many hundreds of variants, and the peptide sequence that provided the highest FRET efficiency was identified by FRET‐based screening of bacterial colonies. The 3D structure of this peptide revealed that the selected residues participated in a cross‐strand cation–π interaction that held the ends of the peptide closer together. More details can be found in the article by Robert E. Campbell et al. on p. 880 ff. (Image credit: Annie Tykwinski and R.E.C.)
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.283 | 0.134 |
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".