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Methodology for identification of pore forming antimicrobial peptides from soy protein subunits β-conglycinin and glycinin

Authors :
Ganesan Narsimhan
Yuan Lyu
Arun K. Bhunia
Ning Xiang
Xiao Zhu
Source :
Peptides. 85:27-40
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Antimicrobial peptides (AMPs) inactivate microbial cells through pore formation in cell membrane. Because of their different mode of action compared to antibiotics, AMPs can be effectively used to combat drug resistant bacteria in human health. AMPs can also be used to replace antibiotics in animal feed and immobilized on food packaging films. In this research, we developed a methodology based on mechanistic evaluation of peptide-lipid bilayer interaction to identify AMPs from soy protein. Production of AMPs from soy protein is an attractive, cost-saving alternative for commercial consideration, because soy protein is an abundant and common protein resource. This methodology is also applicable for identification of AMPs from any protein. Initial screening of peptide segments from soy glycinin (11S) and soy β-conglycinin (7S) subunits was based on their hydrophobicity, hydrophobic moment and net charge. Delicate balance between hydrophilic and hydrophobic interactions is necessary for pore formation. High hydrophobicity decreases the peptide solubility in aqueous phase whereas high hydrophilicity limits binding of the peptide to the bilayer. Out of several candidates chosen from the initial screening, two peptides satisfied the criteria for antimicrobial activity, viz. (i) lipid-peptide binding in surface state and (ii) pore formation in transmembrane state of the aggregate. This method of identification of antimicrobial activity via molecular dynamics simulation was shown to be robust in that it is insensitive to the number of peptides employed in the simulation, initial peptide structure and force field. Their antimicrobial activity against Listeria monocytogenes and Escherichia coli was further confirmed by spot-on-lawn test.

Details

ISSN :
01969781
Volume :
85
Database :
OpenAIRE
Journal :
Peptides
Accession number :
edsair.doi.dedup.....6f04d3e69a25e0a5da63680e39e5d43d
Full Text :
https://doi.org/10.1016/j.peptides.2016.09.004