Structure and stability of β‐pleated sheets*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Beside alpha-helices, beta-sheets are the most common secondary structure elements of proteins. In this article, the question of structure and stability of parallel and antiparallel sheets of various lengths is addressed. All data obtained are compared to a selected set of protein structures. In antiparallel beta-sheets, one of the two possible H-bonded structures (containing 14 atoms in the H-bonded pseudoring) is energetically more favored and also more abundant in proteins than the other one (with 10 atoms involved in the pseudoring). Parallel beta-sheets and their subunits are energetically less stable and indeed found to occur more rarely in proteins. Antiparallel hairpins are disfavored compared to beta-sheets formed by sequentially separated strands. Agreement between theory and experimental data indicates that characterization of structural building blocks at an appropriately accurate level of theory is a useful tool to get insight into fundamentals of protein structure.
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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 it