Identification of Antibacterial Peptide Candidates Encrypted in Stress-Related and Metabolic <i>Saccharomyces cerevisiae</i> Proteins

Identification of Antibacterial Peptide Candidates Encrypted in Stress-Related and Metabolic <i>Saccharomyces cerevisiae</i> Proteins

The protein-rich nature of <i>Saccharomyces cerevisiae</i> has led this yeast to the spotlight concerning the search for antimicrobial peptides. Herein, a <10 kDa peptide-rich extract displaying antibacterial activity was obtained through the autolysis of yeast biomass under mild ther...

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Bibliographic Details
Main Authors: Maria Fernanda da Silva Santos, Cyntia Silva Freitas, Giovani Carlo Verissimo da Costa, Patricia Ribeiro Pereira, Vania Margaret Flosi Paschoalin
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Pharmaceuticals
Subjects:
baker’s yeast
biomass autolysate
FPLC <10 kDa peptides
nano-LC-MS/MS
in silico screening
food-grade pharmaceuticals
Online Access:https://www.mdpi.com/1424-8247/15/2/163

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https://www.mdpi.com/1424-8247/15/2/163

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