Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782191722066870272 |
---|---|
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. |
format | Text |
id | pubmed-2981877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lundegaardclaus stateoftheartandchallengesinsequencebasedtcellepitopeprediction AT hoofilka stateoftheartandchallengesinsequencebasedtcellepitopeprediction AT lundole stateoftheartandchallengesinsequencebasedtcellepitopeprediction AT nielsenmorten stateoftheartandchallengesinsequencebasedtcellepitopeprediction |