Aza‐scanning of the Potent Melanocortin Receptor Agonist Ac‐His‐<scp>d</scp>‐Phe‐Arg‐Trp‐NH<sub>2</sub>
Bibliographic record
Abstract
The melanocortin pathway is an important participant in the regulation of skin pigmentation, steroidogenesis, obesity, energy homeostasis, and exocrine gland function. Melanocortin agonists contain the putative sequence 'His-Phe-Arg-Trp', which has been designated as the 'message' sequence for melanocortin peptides, and this sequence has been hypothesized to adopt a bioactive reverse turn conformation. Exploring the relationship between its structure and biological activity, we report the synthesis and evaluation of seven aza-analogs of the potent melanocortin receptor agonist Ac-His-D-Phe-Arg-Trp-NH2. Aza-amino acids, in which the alpha-carbon was replaced by nitrogen, were inserted along the peptide sequence to probe the importance of local configuration and turn conformation on the biology of this tetrapeptide. Although systematic substitution of aza-amino acids for the D-Phe and Arg residues led to a significant loss of activity relative to the parent peptide for all melanocortin receptor subtypes examined, substitution of aza-amino acids at the C-terminal Trp residue gave analogs equipotent to the parent peptide. In summary, the aza-scan has demonstrated that recognition of this tetrapeptide by the melanocortin receptors is particularly sensitive to modifications of configuration and conformation at the D-Phe and Arg residues versus the Trp amino acid. In light of aza-residues imparting resistance from enzymatic degradation, C-terminal aza-amino acid analogs may be used to design new peptide mimics with enhanced metabolic stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".