Casein Phosphopeptides as a Model for Noncollagenous Protein Control of Collagen Mineralization <i>In Vitro</i>
Bibliographic record
Abstract
Noncollagenous proteins (NCPs) present in bone and other mineralized connective tissues play important roles in collagen mineralization. However, their regulation mechanisms remain unclear. While several NCP analogues have been used as models to study the regulation of mineralization, many of them lack phosphate groups, an important feature of NCPs. In this study, we propose the use of casein phosphopeptides (CPPs) in an in vitro model to study the role of phosphorylated NCPs. We found that soluble CPPs can delay precipitation in mineralization solutions and induce the formation of native-like mineralized collagen fibrils. Further, our results show that phosphate groups on collagen-bound CPPs inside the fibrils accelerate intrafibrillar mineralization, while those on the surface of the fibrils promote surface mineral formation. CPPs are a useful analogue for NCPs in studying the roles of soluble and matrix-bound phosphoproteins in collagen mineralization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".