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Record W2105904801 · doi:10.2174/0929867043364153

Constrained Analogs of Osteogenic Peptides

2004· review· en· W2105904801 on OpenAlexaff
Gordon E. Willick, Paul Morley, J. F. Whitfield

Bibliographic record

VenueCurrent Medicinal Chemistry · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicS100 Proteins and Annexins
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsChemistryBiophysicsBiology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.347
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations7
Published2004
Admission routes1
Has abstractyes

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