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Structure of allergens and structure based epitope predictions()
The structure determination of major allergens is a prerequisite for analyzing surface exposed areas of the allergen and for mapping conformational epitopes. These may be determined by experimental methods including crystallographic and NMR-based approaches or predicted by computational methods. In...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3969231/ https://www.ncbi.nlm.nih.gov/pubmed/23891546 http://dx.doi.org/10.1016/j.ymeth.2013.07.024 |
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author | Dall’Antonia, Fabio Pavkov-Keller, Tea Zangger, Klaus Keller, Walter |
author_facet | Dall’Antonia, Fabio Pavkov-Keller, Tea Zangger, Klaus Keller, Walter |
author_sort | Dall’Antonia, Fabio |
collection | PubMed |
description | The structure determination of major allergens is a prerequisite for analyzing surface exposed areas of the allergen and for mapping conformational epitopes. These may be determined by experimental methods including crystallographic and NMR-based approaches or predicted by computational methods. In this review we summarize the existing structural information on allergens and their classification in protein fold families. The currently available allergen-antibody complexes are described and the experimentally obtained epitopes compared. Furthermore we discuss established methods for linear and conformational epitope mapping, putting special emphasis on a recently developed approach, which uses the structural similarity of proteins in combination with the experimental cross-reactivity data for epitope prediction. |
format | Online Article Text |
id | pubmed-3969231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39692312014-03-31 Structure of allergens and structure based epitope predictions() Dall’Antonia, Fabio Pavkov-Keller, Tea Zangger, Klaus Keller, Walter Methods Article The structure determination of major allergens is a prerequisite for analyzing surface exposed areas of the allergen and for mapping conformational epitopes. These may be determined by experimental methods including crystallographic and NMR-based approaches or predicted by computational methods. In this review we summarize the existing structural information on allergens and their classification in protein fold families. The currently available allergen-antibody complexes are described and the experimentally obtained epitopes compared. Furthermore we discuss established methods for linear and conformational epitope mapping, putting special emphasis on a recently developed approach, which uses the structural similarity of proteins in combination with the experimental cross-reactivity data for epitope prediction. Academic Press 2014-03-01 /pmc/articles/PMC3969231/ /pubmed/23891546 http://dx.doi.org/10.1016/j.ymeth.2013.07.024 Text en © 2013 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Dall’Antonia, Fabio Pavkov-Keller, Tea Zangger, Klaus Keller, Walter Structure of allergens and structure based epitope predictions() |
title | Structure of allergens and structure based epitope predictions() |
title_full | Structure of allergens and structure based epitope predictions() |
title_fullStr | Structure of allergens and structure based epitope predictions() |
title_full_unstemmed | Structure of allergens and structure based epitope predictions() |
title_short | Structure of allergens and structure based epitope predictions() |
title_sort | structure of allergens and structure based epitope predictions() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3969231/ https://www.ncbi.nlm.nih.gov/pubmed/23891546 http://dx.doi.org/10.1016/j.ymeth.2013.07.024 |
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