The NMR-Derived Conformation of Orexin-A: An Orphan G-Protein Coupled Receptor Agonist Involved in Appetite Regulation and Sleep
Bibliographic record
Abstract
The conformation of orexin-A, an orphan G-protein coupled receptor agonist has been determined when bound to sodium dodecylsulphate-d(25) (SDS) micelles by (1)H and (13)C NMR and molecular modeling. Orexin-A has been implicated in sleep-wakefulness and feeding regulation. The conformational preference of orexin-A consists of a short helical section, involving Asp(5) to Gln(9) that makes up helix I, followed by a bend from Lys(10) to Ser(13). Residues Leu(16) to Gly(22) make up helix II. The conformation of orexin-A can now be used to explain the results of earlier Ala substitution mutagenesis experiments (J. G. Darker et al., Bioorg. Med. Chem. Lett. 11, 737-740 (2001); S. Ammoun, et al., J. Pharmacol. Expt. Ther. 305, 507-514 (2003)). Darker et al., working with orexin-A (15-33) amide, observed a significant drop in functional potency at the OX(1)R receptor when Leu(16), Leu(19), Leu(20), His(26), Gly(29), Ile(30), Leu(31), Thr(32), and Leu(33) were replaced by Ala. Ammoun et al. identified three areas of interest, which were the same for OX(1)R and OX(2)R receptors, as amino acids 15-17, 20 and 25-26 with the most marked reduction in activity being produced by the replacement of Leu(20) by Ala. We suggest that Leu(16), Leu(19), and Leu(20), which are in helix II, are likely responsible for binding orexin-A to the surface of the micelle.
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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".