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- W4386098802 endingPage "13091" @default.
- W4386098802 startingPage "13091" @default.
- W4386098802 abstract "The growing challenge of chronic wounds and antibiotic resistance has spotlighted the potential of dual-function peptides (antimicrobial and wound healing) as novel therapeutic strategies. The investigation aimed to characterize and correlate in silico the physicochemical attributes of these peptides with their biological activity. We sourced a dataset of 207 such peptides from various peptide databases, followed by a detailed analysis of their physicochemical properties using bioinformatic tools. Utilizing statistical tools like clustering, correlation, and principal component analysis (PCA), patterns and relationships were discerned among these properties. Furthermore, we analyzed the peptides’ functional domains for insights into their potential mechanisms of action. Our findings spotlight peptides in Cluster 2 as efficacious in wound healing, whereas Cluster 1 peptides exhibited pronounced antimicrobial potential. In our study, we identified specific amino acid patterns and peptide families associated with their biological activities, such as the cecropin antimicrobial domain. Additionally, we found the presence of polar amino acids like arginine, cysteine, and lysine, as well as apolar amino acids like glycine, isoleucine, and leucine. These characteristics are crucial for interactions with bacterial membranes and receptors involved in migration, proliferation, angiogenesis, and immunomodulation. While this study provides a groundwork for therapeutic development, translating these findings into practical applications necessitates additional experimental and clinical research." @default.
- W4386098802 created "2023-08-24" @default.
- W4386098802 creator A5041277558 @default.
- W4386098802 creator A5056262768 @default.
- W4386098802 creator A5068202163 @default.
- W4386098802 creator A5092680878 @default.
- W4386098802 creator A5092680879 @default.
- W4386098802 date "2023-08-23" @default.
- W4386098802 modified "2023-10-11" @default.
- W4386098802 title "Characterization and Classification In Silico of Peptides with Dual Activity (Antimicrobial and Wound Healing)" @default.
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