Structure of the Pore-forming Transmembrane Domain of a Ligand-gated Ion Channel
Bibliographic record
Abstract
The structure of the pore-forming transmembrane domain of the nicotinic acetylcholine receptor from Torpedo has been investigated by infrared spectroscopy. Treatment of affinity-purified receptor with either Pronase or proteinase K digests the extramembranous domains (roughly 75% of the protein mass), leaving hydrophobic membrane-imbedded peptides 3-6 kDa in size that are resistant to peptide (1)H/(2)H exchange. Infrared spectra of the transmembrane domain preparations exhibit relatively sharp and symmetric amide I and amide II band contours centered near 1655 and 1545 cm(-)1, respectively, in both (1)H(2)O and (2)H(2)O. The amide I band is very similar to the amide I bands observed in the spectra of alpha-helical proteins, such as myoglobin and bacteriorhodopsin, that lack beta structure and exhibit much less beta-sheet character than is observed in proteins with as little as 20% beta sheet. Curve-fitting estimates 75-80% alpha-helical character, with the remaining peptides likely adopting extended and/or turn structures at the bilayer surface. Infrared dichroism spectra are consistent with transmembrane alpha-helices oriented perpendicular to the bilayer surface. The evidence strongly suggests that the transmembrane domain of the nicotinic receptor, the most intensively studied ligand-gated ion channel, is composed of five bundles of four transmembrane alpha-helices.
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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) | 0.000 | 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".