Constrained Analogs of Osteogenic Peptides
Bibliographic record
Abstract
Osteogenic peptides are, or have potential to be, therapies for the treatment of osteoporosis, fracture repair, and repair of loosened bone implants. Human parathyroid hormone has been approved for the treatment of post-menopausal osteoporosis. Constrained analogs of PTH and the parathyroid-hormone related peptide (PTHrP) have aided the understanding of how PTH and PTHrP bind to their common receptor and some of these analogs have improved properties that make them possible candidates for clinical trial. Cyclization by lactam formation has shown that a core region of human PTH (hPTH) from residues 16-26 binds as an alpha-helix to the receptor and that the biological effects are remarkably sensitive to ring size. Appropriate cyclization in this region of the molecule not only has yielded analogs with improved receptor activation but also ones less susceptible to protease degradation and thus more active in vivo. Cyclization has been less successful in the N-terminus region, residues 1-12, of hPTH(1-34) with only a cyclization between residues 6 and 10 showing some promise. The growing understanding of how this region binds to the receptor will lead to other productive constraints. This review also covers the potential of a different class of molecule, the osteogenic growth peptide (OPG), as an anabolic bone agent. These molecules have much weaker anabolic effects than PTH and cyclization does not result in improved activity. However, the information gained from these studies may yield analogs with better pharmacological profiles.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".