z-logo
open-access-imgOpen Access
Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction
Author(s) -
Pingping Sun,
Haixu Ju,
Zhenbang Liu,
Ning Qiao,
Jian Zhang,
Xiaowei Zhao,
Yanxin Huang,
Zhiqiang Ma,
Yuxin Li
Publication year - 2013
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2013/943636
Subject(s) - epitope , computer science , identification (biology) , computational biology , field (mathematics) , epitope mapping , web server , structural bioinformatics , feature (linguistics) , bioinformatics , immunology , biology , protein structure , antigen , world wide web , the internet , mathematics , biochemistry , linguistics , botany , philosophy , pure mathematics
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom