| Abstract Scope |
Oral diseases remain among the most common noncommunicable diseases. The combined complexity and prevalence of dental diseases requires well engineered and effective interventions to optimize patient outcomes. Our particular focus has been on exploring biomimetic approaches that can impart the key biological activity toward prevention of dental and oral diseases to restoring oral health. Here, we will discuss our approach for next generation treatments that are composed of peptides, peptide-mimetics, and peptide-polymer hybrids. Using machine learning approaches, we classify bioactive and antimicrobial peptides and enrich sequence domains for effective activity search with enhanced properties. By incorporating multi-pronged strategy to repair and protect exposed dentin and collagen, we combined different peptide, peptide-mimetic and peptide-polymer hybrid to treat different lesion types. Our peptide design and engineering approach targeting biohybrid interfaces provides an alternative delivery strategy to deploy peptides on the sites and increases their availability and preserving their efficacy. |