Structure of Mini-B, a Functional Fragment of Surfactant Protein B, in Detergent Micelles<sup>,</sup>
Bibliographic record
Abstract
Surfactant protein B (SP-B) is essential for normal lung surfactant function, which is in itself essential to life. However, the molecular basis for SP-B's activity is not understood and a high-resolution structure for SP-B has not been determined. Mini-B is a 34-residue peptide with internal disulfide linkages that is composed of the N- and C-terminal helical regions of SP-B. It has been shown to retain similar activity to full-length SP-B in certain in vitro and in vivo studies. We have used solution NMR to determine the structure of Mini-B in the presence of micelles composed of the anionic detergent sodium dodecyl sulfate (SDS). Under these conditions, Mini-B forms two alpha-helices connected by an unstructured loop. Mini-B possesses a strikingly amphipathic surface with a large positively charged patch on one face of the peptide and a large hydrophobic patch on the opposite face. A tryptophan side chain extends outward from the peptide in a position to interact with lipids at the polar/apolar interface. Interhelix interactions are stabilized by both disulfide bonds and by interleaving of hydrophobic side chains from the two helices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| 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".