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Advances of bioinformatics tools applied in virus epitopes prediction
In recent years, the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein, a general overview of different tools currently available, including T cell and B cell epitopes...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SP Wuhan Institute of Virology, CAS
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090880/ https://www.ncbi.nlm.nih.gov/pubmed/21331885 http://dx.doi.org/10.1007/s12250-011-3159-4 |
_version_ | 1783509967289974784 |
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author | Chen, Ping Rayner, Simon Hu, Kang-hong |
author_facet | Chen, Ping Rayner, Simon Hu, Kang-hong |
author_sort | Chen, Ping |
collection | PubMed |
description | In recent years, the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein, a general overview of different tools currently available, including T cell and B cell epitopes prediction tools, is presented. And the principles of different prediction algorithms are reviewed briefly. Finally, several examples are present to illustrate the application of the prediction tools. |
format | Online Article Text |
id | pubmed-7090880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | SP Wuhan Institute of Virology, CAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-70908802020-03-24 Advances of bioinformatics tools applied in virus epitopes prediction Chen, Ping Rayner, Simon Hu, Kang-hong Virol Sin Article In recent years, the in silico epitopes prediction tools have facilitated the progress of vaccines development significantly and many have been applied to predict epitopes in viruses successfully. Herein, a general overview of different tools currently available, including T cell and B cell epitopes prediction tools, is presented. And the principles of different prediction algorithms are reviewed briefly. Finally, several examples are present to illustrate the application of the prediction tools. SP Wuhan Institute of Virology, CAS 2011-02-18 /pmc/articles/PMC7090880/ /pubmed/21331885 http://dx.doi.org/10.1007/s12250-011-3159-4 Text en © Wuhan Institute of Virology, CAS and Springer-Verlag Berlin Heidelberg 2011 |
spellingShingle | Article Chen, Ping Rayner, Simon Hu, Kang-hong Advances of bioinformatics tools applied in virus epitopes prediction |
title | Advances of bioinformatics tools applied in virus epitopes prediction |
title_full | Advances of bioinformatics tools applied in virus epitopes prediction |
title_fullStr | Advances of bioinformatics tools applied in virus epitopes prediction |
title_full_unstemmed | Advances of bioinformatics tools applied in virus epitopes prediction |
title_short | Advances of bioinformatics tools applied in virus epitopes prediction |
title_sort | advances of bioinformatics tools applied in virus epitopes prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090880/ https://www.ncbi.nlm.nih.gov/pubmed/21331885 http://dx.doi.org/10.1007/s12250-011-3159-4 |
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