Duplicated or Hybridized Peptide Functional Domains Promote Oral Homeostasis
Bibliographic record
Abstract
Proteins that have existed for millions of years frequently contain repeats of functional domains within their primary structure, thereby improving their functional capacity. In the evolutionary young statherin protein contained within the in vivo-acquired enamel pellicle (AEP), we identified a single functional domain (DR9) located within the protein N-terminal portion that exhibits a higher affinity for hydroxyapatite and more efficient protection against enamel demineralization compared to other native statherin peptides. Thus, we tested the hypothesis that multiplication of functional domains of naturally occurring pellicle peptides amplifies protection against enamel demineralization. In addition, a specific amino acid sequence from histatin 3 (RR-14) was introduced to the hybrid peptides for further testing. Enamel specimens were sectioned to 150-µm thickness and randomly grouped as follows: DR9, DR9-DR9, DR9-RR14, statherin, histatin 1, or distilled water (control). After submersion for 2 h at 37°C, the specimens were placed in 2 mL demineralization solution for 12 d at 37°C. Upon sample removal, the remaining solution was subjected to colorimetric assays to determine the amount of calcium and phosphate released from each specimen. DR9-DR9 amplified protection against enamel demineralization when compared to single DR9 or statherin. Notably, the hybrid peptide DR9-RR14 demonstrated relatively strong protection when the antimicrobial property of these peptides was tested against Candida albicans and Streptococcus mutans. DR9-RR14 was able to maintain 50% of the antifungal activity compared with RR14 for C. albicans and similar values of S. mutans killing activity. This study has pioneered the functional exploration of the natural peptide constituents of the AEP and their evolution-inspired engineered peptides. The knowledge obtained here may provide a basis for the development of stable (proteinase-resistant) synthetic peptides for therapeutic use against dental caries, dental erosion, and/or oral candidiasis.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".