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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...

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Autores principales: Sun, Pingping, Ju, Haixu, Liu, Zhenbang, Ning, Qiao, Zhang, Jian, Zhao, Xiaowei, Huang, Yanxin, Ma, Zhiqiang, Li, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
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.
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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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