The effect of azobenzene cross-linker position on the degree of helical peptide photo-control
Bibliographic record
Abstract
Photo-switchable α-helical peptides offer a valuable tool to probe protein-biomacromolecule interactions in a spatiotemporally controlled manner. We synthesized a series of 32 residue peptides (AA32 s) with the core structure Ac-W-(E1A2A3A4R5)6-Q-NH2 and introduced the azobenzene based cross-linker BSBCA via reaction with Cys residues spaced at i, i + 7 intervals in different positions along the helix. UV/Vis measurements show that the composition of the photostationary state as well as thermal relaxation rates do not change considerably with changes in cross-linker position. CD analysis shows that photo-control of helix folding/unfolding is most effective when the cross-linker is targeted to the middle of the peptide so long as this segment has a high intrinsic helical propensity. The largest degree of photo-controlled conformational change occurred when a cross-linked central region of high intrinsic helicity was followed on the C-terminal side by a region of lower intrinsic helicity. This indicates the BSBCA cross-linker can act as a nucleation site for N-to-C propagation of a helix. These data help to guide the choice of cross-linking site in larger peptides and proteins where photo-control of conformation is desired.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".