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

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...

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Bibliographic Details
Published in:	Proteomes 2019-09, Vol.7 (4), p.32
Main Authors:	Tomazou, Marios, Oulas, Anastasis, Anagnostopoulos, Athanasios K, Tsangaris, George Th, Spyrou, George M
Format:	Article
Language:	eng
Subjects:	Antimicrobial agents Antimicrobial peptides Cheese Dairy products Datasets functional foods Functional foods & nutraceuticals Gastrointestinal tract in silico digestion Metabolism Milk milk whey Nutrient content Nutritive value Pathogens Peptides peptidomics proteases Proteins proteolysis Proteomes proteomics Sheep Support vector machines Whey
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Summary:	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.
ISSN:	2227-7382 2227-7382