The NMR‐derived conformation of neuropeptide AF, an orphan G‐protein coupled receptor peptide
Bibliographic record
Abstract
The tertiary structure of the pain modulating and anti-opiate neuropeptide, human neuropeptide AF (NPAF) (the sequence is AGEGLNSQFWSLAAPQRF-NH(2)), was determined by (1)H-NMR. The structure of NPAF was determined in two solvent systems, namely 50%/50% trifluoroethanol-d(3)/H(2)O (TFE/H(2)O) and in the cell membrane mimetic micelle, sodium dodecylsulfate-d(25) (SDS). The receptor for NPAF is an orphan G-protein coupled receptor, and the micellar SDS solvent system was used to emulate the cell membrane surface in line with the Cell Membrane Compartments Theory proposed by R. Schwyzer (Biopolymers, 1995, Vol. 37, pp. 5-16). In both solvent systems, NPAF was found to be primarily alpha-helical within the central portion of the molecule, from Asn(6) to Ala(14). The N-terminus was random in both solvent systems. In the SDS solution, the C-terminal tetrapeptide was structured and formed a type I beta-turn, whereas in TFE/H(2)O it was unstructured, showing the importance of the C-terminal tetrapeptide in receptor recognition. NPAF was found to associate with SDS, and was shown to be near the surface of the micelle by spin label studies with 5-doxyl-stearic acid.
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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".