Design and Solution Structure of a Well-Folded Stack of Two β-Hairpins Based on the Amino-Terminal Fragment of Human Granulin A
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Bibliographic record
Abstract
Four amino acid substitutions were introduced into a peptide corresponding to the amino-terminal subdomain (30-31 residues) of human granulin A (HGA) in order to assess the contributions of a hydrophobic framework and other interactions to structure stabilization of the stack of two beta-hairpins. The resulting hybrid peptide, HGA 1-31 (D1V, K3H, S9I, Q20P) with four free cysteines, spontaneously formed a uniquely disulfide-bonded isomer with an expected [1-3, 2-4] disulfide pairing pattern. This peptide was characterized in detail by use of NMR and shown to assume a highly stable structure in solution, in contrast to the amino-terminal 1-30 fragment of human granulin A. The prototype peptide, or HGA 1-30 (C17S, C27S), had lower resistance to chemical reduction and proteolysis, broad NH and H(alpha) proton resonances, lower proton resonance dispersion, and no slowly exchanging amide protons. Two other peptides, HGA 1-30 (C17S, Q20P, C27S) and HGA 1-31 (D1V, K3H, S9I, C17S, C27S), with either Pro20 stabilizing a potential reverse turn or with a hydrophobic cluster consisting of Val1, His3, and Ile9, had sharper and slightly better dispersed NH and H(alpha) proton resonances, but still no slowly exchanging amide protons. The solution structure of HGA 1-31 (D1V, K3H, S9I, Q20P) indicates that it adopts a well-folded conformation of a stack of two beta-hairpins, as found for the amino-terminal subdomain of the prototypic carp granulin-1 with representative beta-hairpin stacks. These results highlight the importance of both hydrophobic and turn-stabilizing interactions for the structural integrity of the hairpin stack scaffold. The conformational stability appears to be maintained by a combination of the well-formed second beta-hairpin and two hydrophobic clusters, one located at the interface between the two beta-hairpins and the other on "top" of the first beta-hairpin. The implications of these findings for the design of conformationally stable hairpin stacks are discussed.
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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