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DOI 10.1002/pmic.202200237

Медицинская библиотека · Proteomics · 2023

Bioprospecting the American Alligator Peptidome for antiviral peptides against Venezuelan equine encephalitis virus.

Carfagno Amy, Lin Shih-Chao, Chafran Liana, Akhrymuk Ivan, Callahan Victoria, Po Marynet, Zhu Yaling, Altalhi Amaal, Durkin David P, Russo Paul, Vliet Kent A, Webb-Robertson Bobbie-Jo, Kehn-Hall Kylene, Bishop Barney

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Аннотация

The innate immune protection provided by cationic antimicrobial peptides (CAMPs) has been shown to extend to antiviral activity, with putative mechanisms of action including direct interaction with host cells or pathogen membranes. The lack of therapeutics available for the treatment of viruses such as Venezuelan equine encephalitis virus (VEEV) underscores the urgency of novel strategies for antiviral discovery. American alligator plasma has been shown to exhibit strong in vitro antibacterial activity, and functionalized hydrogel particles have been successfully employed for the identification of specific CAMPs from alligator plasma. Here, a novel bait strategy in which particles were encapsulated in membranes from either healthy or VEEV-infected cells was implemented to identify peptides preferentially targeting infected cells for subsequent evaluation of antiviral activity. Statistical analysis of peptide identification results was used to select five candidate peptides for testing, of which one exhibited a dose-dependent inhibition of VEEV and also significantly inhibited infectious titers. Results suggest our bioprospecting strategy provides a versatile platform that may be adapted for antiviral peptide identification from complex biological samples.

Для цитирования: Carfagno Amy, Lin Shih-Chao, Chafran Liana, Akhrymuk Ivan, Callahan Victoria, Po Marynet, Zhu Yaling, Altalhi Amaal, Durkin David P, Russo Paul, Vliet Kent A, Webb-Robertson Bobbie-Jo, Kehn-Hall Kylene, Bishop Barney. Bioprospecting the American Alligator Peptidome for antiviral peptides against Venezuelan equine encephalitis virus.. Proteomics. 2023. DOI: 10.1002/pmic.202200237.

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