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Record W2025586862 · doi:10.1021/bi7011756

Structure of Mini-B, a Functional Fragment of Surfactant Protein B, in Detergent Micelles<sup>,</sup>

2007· article· en· W2025586862 on OpenAlexafffund
Muzaddid Sarker, Alan J. Waring, Frans J. Walther, Kevin M. W. Keough, Valerie Booth

Bibliographic record

VenueBiochemistry · 2007
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMemorial University of Newfoundland
FundersNational Heart, Lung, and Blood InstituteNatural Sciences and Engineering Research Council of CanadaHealth Canada
KeywordsChemistryMicellePeptideSodium dodecyl sulfateAmphiphilePulmonary surfactantStereochemistryResidue (chemistry)Helix (gastropod)CrystallographySide chainAqueous solutionOrganic chemistryBiochemistryCopolymer

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.315
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations61
Published2007
Admission routes2
Has abstractyes

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