Probing the Structural Determinants of Type II‘ β-Turn Formation in Peptides and Proteins
Bibliographic record
Abstract
The structural determinants of type II' beta-turns were probed through a comprehensive CD, NMR, and molecular dynamics analysis of 10 specially designed beta-hairpin peptides. The peptide model used in this study is a synthetic, water-soluble, 14-residue cyclic analogue of gramicidin S which contains two well-defined type II' beta-turns connected by a highly stable, amphipathic, antiparallel beta-sheet. A variety of coded and noncoded amino acids were systematically substituted in one of the two type II' turns to analyze the effects of backbone chirality, side-chain steric restriction, and side-chain/side-chain interactions. beta-Sheet content (as measured through a variety of experimental methods), molecular dynamics, and 3D structural analysis of the turn regions were used to assess the effects of each amino acid substitution on type II' beta-turn stabilization. Our results demonstrate that backbone heterochirality, which determines equatorial and axial side-chain orientation at the i+1 and i+2 residues of type II' turns, may account for up to 60% of type II' beta-turn stabilization. Steric restriction through side-chain N-alkylation appears to enhance type II' beta-turn propensity and may account for up to 20% of type II' beta-turn stabilization. Finally, aromatic/proline side-chain interactions appear to account for approximately 10% of type II' beta-turn stabilization. We believe this information could be particularly useful for the prediction of beta-turn propensity, the development of peptide-based drugs, and the de novo design of peptides, proteins, and peptidyl mimetics.
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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 | 0.000 |
| 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".