Role of Amino Acid Side Chains in Region 17–31 of Parathyroid Hormone (PTH) in Binding to the PTH Receptor
Bibliographic record
Abstract
The principal receptor-binding domain (Ser(17)-Val(31)) of parathyroid hormone (PTH) is predicted to form an amphiphilic alpha-helix and to interact primarily with the N-terminal extracellular domain (N domain) of the PTH receptor (PTHR). We explored these hypotheses by introducing a variety of substitutions in region 17-31 of PTH-(1-31) and assessing, via competition assays, their effects on binding to the wild-type PTHR and to PTHR-delNt, which lacks most of the N domain. Substitutions at Arg(20) reduced affinity for the intact PTHR by 200-fold or more, but altered affinity for PTHR-delNt by 4-fold or less. Similar effects were observed for Glu substitutions at Trp(23), Leu(24), and Leu(28), which together form the hydrophobic face of the predicted amphiphilic alpha-helix. Glu substitutions at Arg(25), Lys(26), and Lys(27) (which forms the hydrophilic face of the helix) caused 4-10-fold reductions in affinity for both receptors. Thus, the side chains of Arg(20), together with those composing the hydrophobic face of the ligand's putative amphiphilic alpha-helix, contribute strongly to PTHR-binding affinity by interacting specifically with the N domain of the receptor. The side chains projecting from the opposite helical face contribute weakly to binding affinity by different mechanisms, possibly involving interactions with the extracellular loop/transmembrane domain region of the receptor. The data help define the roles that side chains in the binding domain of PTH play in the PTH-PTHR interaction process and provide new clues for understanding the overall topology of the bimolecular complex.
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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 | 0.001 |
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".