Lipid-bound Structure of an Apolipoprotein E-derived Peptide
Bibliographic record
Abstract
Apolipoprotein (apo) E regulates plasma lipid homeostasis through its ability to interact with the low density lipoprotein (LDL) receptor family. Whereas apoE is not a ligand for receptor binding in buffer alone, interaction with lipid confers receptor recognition properties. To investigate the nature of proposed lipid binding-induced conformational changes in apoE, we employed multidimensional heteronuclear NMR spectroscopy to determine the structure of an LDL receptor-active, 58-residue peptide comprising residues 126-183 of apoE in association with the micelle-forming lipid dodecylphosphocholine (DPC). In the presence of 34 mm DPC the peptide forms a continuous amphipathic helix from Glu131 to Arg178. NMR relaxation studies of DPC-bound apoE-(126-183), in contrast to apoE-(126-183) in the presence of TFE, are consistent with an isotropically tumbling peptide in solution giving a global correlation time of approximately 12.5 ns. These data indicate that the helical peptide is curved and constrained by a lipid micelle consisting of approximately 48 DPC molecules. Although the peptide behaves as if it were tumbling isotropically, spectral density analysis reveals that residues 150-183 have more motional freedom than residues 134-149. These molecular and dynamic features are discussed further to provide insight into the structural basis for the interaction between apoE and the ligand binding repeats of the LDL receptor.
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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 | 0.000 |
| 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".