NMR Structure and Dynamics of a Receptor-active Apolipoprotein E Peptide
Bibliographic record
Abstract
Apolipoprotein E (apoE) is important in lipid metabolism due to its interaction with members of the low density lipoprotein (LDL) receptor family. ApoE is able to interact with the LDL receptor only when it is bound to lipid particles. To address structural aspects of this phenomenon, a receptor-active apoE peptide, encompassing the receptor-binding region of the protein, was studied by NMR in the presence of the lipid-mimicking agent trifluoroethanol. In 50% trifluoroethanol, apoE-(126-183) forms a continuous amphipathic alpha-helix over residues Thr(130)-Glu(179). Detailed NMR relaxation analysis indicates a high degree of plasticity for the residues surrounding 149-159. This intrinsic flexibility imposes a curvature to the peptide that may be important in terms of interaction of apoE with various sized lipid particles and the LDL receptor. Residues 165-179 of apoE may act as a molecular switch whereby these residues are unstructured in the absence of lipids and prevent interaction with the LDL receptor. In the presence of lipids, these residues become helical resulting in a receptor-active conformation of the protein. Furthermore, the electrostatic characteristics and geometric features of apoE-(126-183) suggest that apoE binds to the LDL receptor by interacting with more than one of the receptor ligand-binding repeats.
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 | 0.000 |
| 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".