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Food Chem Toxicol. 2013 Jun;56:254-60. doi: 10.1016/j.fct.2013.02.014. Epub 2013 Feb 26.

Prediction and characterization of the linear IgE epitopes for the major soybean allergen β-conglycinin using immunoinformatics tools.

Author information

  • 1State Key Laboratory of Food Science and Technology, School of Food Science of Jiangnan University, Wuxi, Jiangsu 214122, China. sxlzzz@jiangnan.edu.cn

Abstract

The α subunit of β-conglycinin is a major allergen in soybean. The objective of this study was to predict and identify the linear immunoglobulin (Ig)E epitopes of the soybean α subunit of β-conglycinin. Three immunoinformatics tools were used to predict the potential epitopes and were confirmed by dot-blot inhibition using sera from soybean allergic subjects. As a result, 15 peptides were predicted and assembled by solid-phase synthesis. Eleven epitopes were identified by the dot-blot inhibition test. Moreover, peptide 3 had IgE binding capability with all sera(5/5) tested, while peptide 1, 4, 6, 8 and12 could bind to 4/5 of the sera samples. Secondary structure prediction of peptide 3 and circular dichroism test validated that the structure of peptide 3 was a random coil.

Copyright © 2013 Elsevier Ltd. All rights reserved.

PMID:
23454299
[PubMed - indexed for MEDLINE]
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