Three-Dimensional Structure of Rat Surfactant Protein A Trimers in Association with Phospholipid Monolayers<sup>,</sup>
Bibliographic record
Abstract
Surfactant protein A (SP-A) is a C-type lectin found primarily in the lung and plays a role in innate immunity and the maintenance of surfactant integrity. To determine the three-dimensional (3D) structure of SP-A in association with a lipid ligand, we have used single particle electron crystallography and computational 3D reconstruction in combination with molecular modeling. Recombinant rat SP-A, containing a deletion of the collagen-like domain, was incubated with dipalmitoylphosphatidylcholine:egg phosphatidylcholine (1:1, wt/wt) lipid monolayers in the presence of calcium, negatively stained, and examined by transmission electron microscopy. Images of SP-A-lipid complexes with different angular orientations were used to reconstruct the 3D structure of the protein. These results showed that SP-A subunits readily formed trimers and interacted with lipid monolayers exclusively via the globular domains. A homology-based molecular model of SP-A was generated and fitted into the electron density map of the protein. The plane of the putative lipid-protein interface was relatively flat and perpendicular to the hydrophobic neck region, and the cleft region in the middle of the trimer had no apparent charge clusters. Amino acid residues that are known to affect lipid interactions, Glu(195) and Arg(197), were located at the protein-lipid interface. The molecular model indicated that the hydrophobic neck region of the SP-A did not interact with lipid monolayers but was instead involved in intratrimeric subunit interactions. The glycosylation site of SP-A was located at the side of each subunit, suggesting that the covalently linked carbohydrate moiety probably occupies the spaces between the adjacent globular domains, a location that would not sterically interfere with ligand binding.
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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 | 0.001 |
| 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 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".