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State of the art and challenges in sequence based T-cell epitope prediction

Sequence based T-cell epitope predictions have improved immensely in the last decade. From predictions of peptide binding to major histocompatibility complex molecules with moderate accuracy, limited allele coverage, and no good estimates of the other events in the antigen-processing pathway, the fi...

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Detalles Bibliográficos
Autores principales: Lundegaard, Claus, Hoof, Ilka, Lund, Ole, Nielsen, Morten
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2981877/
https://www.ncbi.nlm.nih.gov/pubmed/21067545
http://dx.doi.org/10.1186/1745-7580-6-S2-S3
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author Lundegaard, Claus
Hoof, Ilka
Lund, Ole
Nielsen, Morten
author_facet Lundegaard, Claus
Hoof, Ilka
Lund, Ole
Nielsen, Morten
author_sort Lundegaard, Claus
collection PubMed
description Sequence based T-cell epitope predictions have improved immensely in the last decade. From predictions of peptide binding to major histocompatibility complex molecules with moderate accuracy, limited allele coverage, and no good estimates of the other events in the antigen-processing pathway, the field has evolved significantly. Methods have now been developed that produce highly accurate binding predictions for many alleles and integrate both proteasomal cleavage and transport events. Moreover have so-called pan-specific methods been developed, which allow for prediction of peptide binding to MHC alleles characterized by limited or no peptide binding data. Most of the developed methods are publicly available, and have proven to be very useful as a shortcut in epitope discovery. Here, we will go through some of the history of sequence-based predictions of helper as well as cytotoxic T cell epitopes. We will focus on some of the most accurate methods and their basic background.
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spelling pubmed-29818772010-11-17 State of the art and challenges in sequence based T-cell epitope prediction Lundegaard, Claus Hoof, Ilka Lund, Ole Nielsen, Morten Immunome Res Review Sequence based T-cell epitope predictions have improved immensely in the last decade. From predictions of peptide binding to major histocompatibility complex molecules with moderate accuracy, limited allele coverage, and no good estimates of the other events in the antigen-processing pathway, the field has evolved significantly. Methods have now been developed that produce highly accurate binding predictions for many alleles and integrate both proteasomal cleavage and transport events. Moreover have so-called pan-specific methods been developed, which allow for prediction of peptide binding to MHC alleles characterized by limited or no peptide binding data. Most of the developed methods are publicly available, and have proven to be very useful as a shortcut in epitope discovery. Here, we will go through some of the history of sequence-based predictions of helper as well as cytotoxic T cell epitopes. We will focus on some of the most accurate methods and their basic background. BioMed Central 2010-11-03 /pmc/articles/PMC2981877/ /pubmed/21067545 http://dx.doi.org/10.1186/1745-7580-6-S2-S3 Text en Copyright ©2010 Lundegaard et al; 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 Review
Lundegaard, Claus
Hoof, Ilka
Lund, Ole
Nielsen, Morten
State of the art and challenges in sequence based T-cell epitope prediction
title State of the art and challenges in sequence based T-cell epitope prediction
title_full State of the art and challenges in sequence based T-cell epitope prediction
title_fullStr State of the art and challenges in sequence based T-cell epitope prediction
title_full_unstemmed State of the art and challenges in sequence based T-cell epitope prediction
title_short State of the art and challenges in sequence based T-cell epitope prediction
title_sort state of the art and challenges in sequence based t-cell epitope prediction
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2981877/
https://www.ncbi.nlm.nih.gov/pubmed/21067545
http://dx.doi.org/10.1186/1745-7580-6-S2-S3
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