Deltorphin analogs restricted via a urea bridge: structure and opioid activity
Bibliographic record
Abstract
Eight cyclic heptapeptides related to the full sequence of deltorphin have been synthesized. The synthesis of linear peptides containing diamino acid residues in positions 2 and 4 was carried out on a 4-methylbenzhydrylamine resin. Depending on protection procedures, the N-protected peptide-resins or N-protected peptide amides with free amino groups in the side chains were obtained, which were subsequently treated with bis-(4-nitrophenyl)carbonate to form a urea unit. Opioid activities of the peptides were determined in the guinea pig ileum (GPI) and mouse vas deferens (MVD) assays. Several compounds showed high delta opioid agonist potency and high selectivity for delta receptors. The results were compared with those obtained earlier for respective 1-4 deltorphin analogs. The conformations of these peptides have been studied using 2D-NMR in H2O/D2O and molecular dynamics. We observed that the backbone rings had well defined conformations, while the Tyr and Phe side chains and the C-terminal tail had significant conformational freedom. The bioassay data and conformational parameters of these peptides were compared with those of previously described, corresponding 1-4 deltorphin analogs. This comparison permitted an assessment of the role of the C-terminal peptide segment in defining the conformation and receptor interaction of the N-terminal portion and provided insight into the relationship between the putative bioactive conformations and bioactivity.
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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".