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Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction
Identification of epitopes which invoke strong humoral responses is an essential issue in the field of immunology. Localizing epitopes by experimental methods is expensive in terms of time, cost, and effort; therefore, computational methods feature for its low cost and high speed was employed to pre...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736542/ https://www.ncbi.nlm.nih.gov/pubmed/23970944 http://dx.doi.org/10.1155/2013/943636 |
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author | Sun, Pingping Ju, Haixu Liu, Zhenbang Ning, Qiao Zhang, Jian Zhao, Xiaowei Huang, Yanxin Ma, Zhiqiang Li, Yuxin |
author_facet | Sun, Pingping Ju, Haixu Liu, Zhenbang Ning, Qiao Zhang, Jian Zhao, Xiaowei Huang, Yanxin Ma, Zhiqiang Li, Yuxin |
author_sort | Sun, Pingping |
collection | PubMed |
description | Identification of epitopes which invoke strong humoral responses is an essential issue in the field of immunology. Localizing epitopes by experimental methods is expensive in terms of time, cost, and effort; therefore, computational methods feature for its low cost and high speed was employed to predict B-cell epitopes. In this paper, we review the recent advance of bioinformatics resources and tools in conformational B-cell epitope prediction, including databases, algorithms, web servers, and their applications in solving problems in related areas. To stimulate the development of better tools, some promising directions are also extensively discussed. |
format | Online Article Text |
id | pubmed-3736542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37365422013-08-22 Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction Sun, Pingping Ju, Haixu Liu, Zhenbang Ning, Qiao Zhang, Jian Zhao, Xiaowei Huang, Yanxin Ma, Zhiqiang Li, Yuxin Comput Math Methods Med Review Article Identification of epitopes which invoke strong humoral responses is an essential issue in the field of immunology. Localizing epitopes by experimental methods is expensive in terms of time, cost, and effort; therefore, computational methods feature for its low cost and high speed was employed to predict B-cell epitopes. In this paper, we review the recent advance of bioinformatics resources and tools in conformational B-cell epitope prediction, including databases, algorithms, web servers, and their applications in solving problems in related areas. To stimulate the development of better tools, some promising directions are also extensively discussed. Hindawi Publishing Corporation 2013 2013-07-21 /pmc/articles/PMC3736542/ /pubmed/23970944 http://dx.doi.org/10.1155/2013/943636 Text en Copyright © 2013 Pingping Sun et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Sun, Pingping Ju, Haixu Liu, Zhenbang Ning, Qiao Zhang, Jian Zhao, Xiaowei Huang, Yanxin Ma, Zhiqiang Li, Yuxin Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title | Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title_full | Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title_fullStr | Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title_full_unstemmed | Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title_short | Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction |
title_sort | bioinformatics resources and tools for conformational b-cell epitope prediction |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736542/ https://www.ncbi.nlm.nih.gov/pubmed/23970944 http://dx.doi.org/10.1155/2013/943636 |
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