Structural Requirements for Conserved Arginine of Parathyroid Hormone
Bibliographic record
Abstract
Arg-20 is one of two residues conserved in all peptides known to activate the parathyroid hormone (PTH) receptor. Previous studies have failed to find any naturally encoded analogues of residue 20 that had any adenylyl cyclase (AC) stimulating activity. In this work we have studied substitutions of Arg-20 with nonencoded amino acids and conformationally constrained analogues with side chains mimicking that of Arg. No analogue had more than 20% of the AC-stimulating ability of the natural Arg-20-bearing peptide. In descending order of activity, the most active analogues had (S)-4-piperidyl-(N-amidino)glycine (PipGly), norleucine (Nle), citrulline (Cit), or ornithine (Orn) at residue 20. Analogues with Arg-20 substituted with L-4-piperidyl-(N-amidino)alanine, Lys, Glu, Ala, Gln, (S)-2-amino-4-[(2-amino)pyrimidinyl]butanoic acid, or L-(4-guanidino)phenylalanine had very low or negligible activity. Low or negligible activities of Lys or Orn analogues suggested ionic interactions play a minor role in the Arg interaction with the receptor. The conformational constraints imposed by the PipGly ring had a negative effect on its ability to substitute for Arg. The side-chain H-bonding potential of the Cit ureimido group was likely an important factor in its mimicry of Arg. The increase in amphiphilicity, as demonstrated by its greater high-performance liquid chromatographic retention, and increased alpha-helix, as shown by circular dichroic spectroscopy, likely contributed to the activity of the Nle-20 analogue. The data demonstrated that specific H-bonding, hydrophobicity of the side chain, stabilization of alpha-helix, and possibly specific cation positioning were all important in the interaction of Arg-20 with receptor groups.
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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".