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In Silico Identification of Antimicrobial Peptides in the Proteomes of Goat and Sheep Milk and Feta Cheese.


ABSTRACT: Milk and dairy products are a major functional food group of growing scientific and commercial interest due to their nutritional value and bioactive "load". A major fraction of the latter is attributed to milk's rich protein content and its biofunctional peptides that occur naturally during digestion. On the basis of the identified proteome datasets of milk whey from sheep and goat breeds in Greece and feta cheese obtained during previous work, we applied an in silico workflow to predict and characterise the antimicrobial peptide content of these proteomes. We utilised existing tools for predicting peptide sequences with antimicrobial traits complemented by in silico protein cleavage modelling to identify frequently occurring antimicrobial peptides (AMPs) in the gastrointestinal (GI) tract in humans. The peptides of interest were finally assessed for their stability with respect to their susceptibility to cleavage by endogenous proteases expressed along the intestinal part of the GI tract and ranked with respect to both their antimicrobial and stability scores.

SUBMITTER: Tomazou M 

PROVIDER: S-EPMC6958355 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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In Silico Identification of Antimicrobial Peptides in the Proteomes of Goat and Sheep Milk and Feta Cheese.

Tomazou Marios M   Oulas Anastasis A   Anagnostopoulos Athanasios K AK   Tsangaris George Th GT   Spyrou George M GM  

Proteomes 20190921 4


Milk and dairy products are a major functional food group of growing scientific and commercial interest due to their nutritional value and bioactive "load". A major fraction of the latter is attributed to milk's rich protein content and its biofunctional peptides that occur naturally during digestion. On the basis of the identified proteome datasets of milk whey from sheep and goat breeds in Greece and feta cheese obtained during previous work, we applied an in silico workflow to predict and cha  ...[more]

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