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Record W2615422710 · doi:10.1177/0022034517708552

Duplicated or Hybridized Peptide Functional Domains Promote Oral Homeostasis

2017· article· en· W2615422710 on OpenAlexafffund
Tayebeh Basiri, Nayriah Johnson, Eduardo Buozi Moffa, Y. Mulyar, Pepsi Nunes, María Aparecida de Andrade Moreira Machado, Walter L. Siqueira

Bibliographic record

VenueJournal of Dental Research · 2017
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsDemineralizationStreptococcus mutansEnamel paintChemistryCandida albicansMicrobiologyBiologyDentistryBacteriaMedicine

Abstract

fetched live from OpenAlex

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.202
GPT teacher head0.452
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations23
Published2017
Admission routes2
Has abstractyes

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