Lipid-Protein Interactions at the Nicotinic Acetylcholine Receptor
Bibliographic record
Abstract
The structural and functional properties of reconstituted nicotinic acetylcholine receptor membranes composed of phosphatidyl choline either with or without cholesterol and/or phosphatidic acid have been examined to test the hypothesis that receptor conformational equilibria are modulated by the physical properties of the surrounding lipid environment. Spectroscopic and chemical labeling data indicate that the receptor in phosphatidylcholine alone is stabilized in a desensitized-like state, whereas the presence of either cholesterol or phosphatidic acid favors a resting-like conformation. Membranes that effectively stabilize a resting-like state exhibit a relatively large proportion of non-hydrogen-bonded lipid ester carbonyls, suggesting a relatively tight packing of the lipid head groups and thus a well ordered membrane. Functional reconstituted membranes also exhibit gel-to-liquid crystal phase transition temperatures that are higher than those of nonfunctional reconstituted membranes composed of phosphatidylcholine alone. Significantly, incorporation of the receptor into phosphatidic acid-containing membranes leads to a dramatic increase in both the lateral packing densities and the gel-to-liquid crystal phase transition temperatures of the reconstituted lipid bilayers. These results suggest a functional link between the nicotinic acetylcholine receptor and the physical properties of phosphatidic acid-containing membranes that could underlie the mechanism by which this lipid preferentially enhances receptor function.
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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".