Nucleation of biomimetic hydroxyapatite nanoparticles on the surface of human type I collagen using a hybrid all-atom and coarse-grained model
Bibliographic record
Abstract
Inorganic mineral/collagen composite materials are one of the most attractive implant materials for bone repair engineering. Mineralized collagen composites have a similar hierarchical structure and biological activity to natural bone; however, the mechanism of the mineralization process is complex, and the properties of mineralized materials are difficult to control during the preparation process. Currently, this is a significant challenge in coarse-grained organic-inorganic systems. Thus, a coarse-grained/all-atom multiscale model was employed to investigate the biomineralization process. Based on the free energy of the all-atom ion association, we obtained the coupling parameters of the multiscale model, which were similar to those of the all-atom model. In this multiscale simulation model, coarse-grained models were used for type I collagen protein and water molecules and all-atom models for phosphate and calcium ions. The coarse-grained/all-atom multiscale model of mineralized collagen identified the same nucleation site and calcium phosphate aggregation process as the all-atom model. Additionally, the calcium phosphate clusters still retained site-selectivity around the coarse-grained collagen surface during the nucleation process. At the same time, the clusters tended to have a certain crystal structure morphology during the long-time simulation. This new strategy will help accelerate biomaterial design and optimization.
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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".