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An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics

BACKGROUND: Improving our understanding of the immune response is fundamental to developing strategies to combat a wide range of diseases. We describe an integrated epitope analysis system which is based on principal component analysis of sequences of amino acids, using a multilayer perceptron neura...

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Detalles Bibliográficos
Autores principales: Bremel, Robert D, Homan, E Jane
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2991286/
https://www.ncbi.nlm.nih.gov/pubmed/21044290
http://dx.doi.org/10.1186/1745-7580-6-8
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author Bremel, Robert D
Homan, E Jane
author_facet Bremel, Robert D
Homan, E Jane
author_sort Bremel, Robert D
collection PubMed
description BACKGROUND: Improving our understanding of the immune response is fundamental to developing strategies to combat a wide range of diseases. We describe an integrated epitope analysis system which is based on principal component analysis of sequences of amino acids, using a multilayer perceptron neural net to conduct QSAR regression predictions for peptide binding affinities to 35 MHC-I and 14 MHC-II alleles. RESULTS: The approach described allows rapid processing of single proteins, entire proteomes or subsets thereof, as well as multiple strains of the same organism. It enables consideration of the interface of diversity of both microorganisms and of host immunogenetics. Patterns of binding affinity are linked to topological features, such as extracellular or intramembrane location, and integrated into a graphical display which facilitates conceptual understanding of the interplay of B-cell and T-cell mediated immunity. Patterns which emerge from application of this approach include the correlations between peptides showing high affinity binding to MHC-I and to MHC-II, and also with predicted B-cell epitopes. These are characterized as coincident epitope groups (CEGs). Also evident are long range patterns across proteins which identify regions of high affinity binding for a permuted population of diverse and heterozygous HLA alleles, as well as subtle differences in reactions with MHCs of individual HLA alleles, which may be important in disease susceptibility, and in vaccine and clinical trial design. Comparisons are shown of predicted epitope mapping derived from application of the QSAR approach with experimentally derived epitope maps from a diverse multi-species dataset, from Staphylococcus aureus, and from vaccinia virus. CONCLUSIONS: A desktop application with interactive graphic capability is shown to be a useful platform for development of prediction and visualization tools for epitope mapping at scales ranging from individual proteins to proteomes from multiple strains of an organism. The possible functional implications of the patterns of peptide epitopes observed are discussed, including their implications for B-cell and T-cell cooperation and cross presentation.
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spelling pubmed-29912862010-11-25 An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics Bremel, Robert D Homan, E Jane Immunome Res Research BACKGROUND: Improving our understanding of the immune response is fundamental to developing strategies to combat a wide range of diseases. We describe an integrated epitope analysis system which is based on principal component analysis of sequences of amino acids, using a multilayer perceptron neural net to conduct QSAR regression predictions for peptide binding affinities to 35 MHC-I and 14 MHC-II alleles. RESULTS: The approach described allows rapid processing of single proteins, entire proteomes or subsets thereof, as well as multiple strains of the same organism. It enables consideration of the interface of diversity of both microorganisms and of host immunogenetics. Patterns of binding affinity are linked to topological features, such as extracellular or intramembrane location, and integrated into a graphical display which facilitates conceptual understanding of the interplay of B-cell and T-cell mediated immunity. Patterns which emerge from application of this approach include the correlations between peptides showing high affinity binding to MHC-I and to MHC-II, and also with predicted B-cell epitopes. These are characterized as coincident epitope groups (CEGs). Also evident are long range patterns across proteins which identify regions of high affinity binding for a permuted population of diverse and heterozygous HLA alleles, as well as subtle differences in reactions with MHCs of individual HLA alleles, which may be important in disease susceptibility, and in vaccine and clinical trial design. Comparisons are shown of predicted epitope mapping derived from application of the QSAR approach with experimentally derived epitope maps from a diverse multi-species dataset, from Staphylococcus aureus, and from vaccinia virus. CONCLUSIONS: A desktop application with interactive graphic capability is shown to be a useful platform for development of prediction and visualization tools for epitope mapping at scales ranging from individual proteins to proteomes from multiple strains of an organism. The possible functional implications of the patterns of peptide epitopes observed are discussed, including their implications for B-cell and T-cell cooperation and cross presentation. BioMed Central 2010-11-02 /pmc/articles/PMC2991286/ /pubmed/21044290 http://dx.doi.org/10.1186/1745-7580-6-8 Text en Copyright ©2010 Bremel and Homan; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bremel, Robert D
Homan, E Jane
An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title_full An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title_fullStr An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title_full_unstemmed An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title_short An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics
title_sort integrated approach to epitope analysis ii: a system for proteomic-scale prediction of immunological characteristics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2991286/
https://www.ncbi.nlm.nih.gov/pubmed/21044290
http://dx.doi.org/10.1186/1745-7580-6-8
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