Literature DB >> 17059861

How reliable is the structural prediction of IgE-binding epitopes of allergens? The case study of plant lipid transfer proteins.

Jean-Philippe Borges1, Annick Barre, Raphaël Culerrier, Nicolas Archimbaud, Alain Didier, Pierre Rougé.   

Abstract

The linear IgE-binding epitopes of non-specific lipid transfer proteins (nsLTP) from plants were predicted using a combination of predictive tools including (1) the hydropathic profiles based on different scales of hydrophilicity, flexibility and exposure to the solvent, (2) the hydrophobic cluster analysis plots, (3) the occurrence of charged residues in the predicted amino acid sequence stretches and, (4) the exposition of the predicted linear IgE-binding epitopes checked on the three-dimensional models built for the nsLTP. A reliable prediction was obtained for nsLTP as compared with the previously characterized IgE-binding epitopes of various proteins. A consensual IgE-binding epitope occurring in other plant nsLTP and responsible for some IgE-binding cross-reactivity among fruit nsLTP has been identified and characterized. Despite some discrepancies, a fairly good prediction resulted in applying our combination of predictive methods to longer nsLTP or plant profilins.

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Year:  2006        PMID: 17059861     DOI: 10.1016/j.biochi.2006.09.012

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  3 in total

1.  Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity.

Authors:  Surendra S Negi; Werner Braun
Journal:  Bioinformatics       Date:  2017-04-01       Impact factor: 6.937

Review 2.  The role of lipid transfer proteins in allergic diseases.

Authors:  Matthias Egger; Michael Hauser; Adriano Mari; Fatima Ferreira; Gabriele Gadermaier
Journal:  Curr Allergy Asthma Rep       Date:  2010-09       Impact factor: 4.806

3.  Brachypodium distachyon as a model for defining the allergen potential of non-prolamin proteins.

Authors:  A Juhász; Gy Gell; E Sebestyén; R Haraszi; L Tamás; E Balázs
Journal:  Funct Integr Genomics       Date:  2012-08-30       Impact factor: 3.410

  3 in total

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