Journal article
(Original article)


Virtual screening of a milk peptide database for the identification of food-derived antimicrobial peptides


Publication Details
Author(s): Liu Y, Eichler J, Pischetsrieder M
Publisher: Wiley-VCH Verlag
Publication year: 2015
Volume: 59
Pages range: 2243-2254
ISSN: 1613-4125
Language: English

Abstract

Scope: Milk provides a wide range of bioactive substances, such as antimicrobial peptides and
proteins. Our study aimed to identify novel antimicrobial peptides naturally present in milk.

Methods and results: The components of an endogenous bovine milk peptide database were
virtually screened for charge, amphipathy, and predicted secondary structure. Thus, 23 of
248 screened peptides were identified as candidates for antimicrobial effects. After commercial
synthesis, their antimicrobial activities were determined against Escherichia coli NEB5 alpha,
E. coli ATCC25922, and Bacillus subtilis ATCC6051. In the tested concentration range (<2
mM), bacteriostatic activity of 14 peptides was detected including nine peptides inhibiting both
Gram-positive and Gram-negative bacteria. The most effective fragment was TKLTEEEKNRLNFLKKISQRYQKFALPQYLK corresponding to alpha(S2)-casein151–181, with minimum inhibitory concentration (MIC) of 4.0 muM against B. subtilis ATCC6051, and minimum inhibitory concentrations of 16.2 M against both E. coli strains. Circular dichroism spectroscopy revealed conformational changes of most active peptides in a membrane-mimic environment, transitioning from an unordered to alpha-helical structure.

Conclusion: Screening of food peptide databases by prediction tools is an efficient method
to identify novel antimicrobial food-derived peptides. Milk-derived antimicrobial peptides may
have potential use as functional food ingredients and help to understand the molecular mechanisms of anti-infective milk effects.



How to cite
APA: Liu, Y., Eichler, J., & Pischetsrieder, M. (2015). Virtual screening of a milk peptide database for the identification of food-derived antimicrobial peptides. Molecular Nutrition & Food Research, 59, 2243-2254. https://dx.doi.org/10.1002/mnfr.201500182

MLA: Liu, Yufang, Jutta Eichler, and Monika Pischetsrieder. "Virtual screening of a milk peptide database for the identification of food-derived antimicrobial peptides." Molecular Nutrition & Food Research 59 (2015): 2243-2254.

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