Induction of collagen mineralization by a bone sialoprotein-decorin chimeric protein
Bibliographic record
Abstract
The observation that hydroxyapatite (HA) formation from metastable solutions can be induced by nucleating proteins such as bone sialoprotein (BSP) suggests a possible treatment for bone defects. The introduction of a mixture of nucleating protein and type I collagen should result in a defect becoming filled with a mineralized collagenous matrix that is biologically and mechanically compatible and capable of being remodeled. To create a nucleating protein that would interact with collagen fibrils, we combined the putative collagen-binding site of mouse decorin with one of two putative HA-nucleating sites of pig BSP. The resulting chimeric protein induced the formation of HA crystals in a steady-state agarose gel system and bound with high affinity to fibrillar type I collagen. The addition of chimeric protein to collagen gels perfused with low concentrations of calcium and phosphate resulted in the deposition of large, apparently needle-shaped HA crystals on the surface of collagen fibrils. These findings suggest that the BSP-decorin chimeric protein could be capable of inducing the mineralization of collagen in vivo.
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 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".