title: Bioinformatics resources and tools for conformational B-cell epitope prediction.
abstract: 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.
authors: School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China.
authors: Pingping
authors: P
authors: Sun
authors: Haixu
authors: H
authors: Ju
authors: Zhenbang
authors: Z
authors: Liu
authors: Qiao
authors: Q
authors: Ning
authors: Jian
authors: J
authors: Zhang
authors: Xiaowei
authors: X
authors: Zhao
authors: Yanxin
authors: Y
authors: Huang
authors: Zhiqiang
authors: Z
authors: Ma
authors: Yuxin
authors: Y
authors: Li
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D030562:Databases, Protein; D018985:Epitopes, B-Lymphocyte / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D006801:Humans; D020407:Internet; D011487:Protein Conformation; D012984:Software
chemical_list: D018985:Epitopes, B-Lymphocyte
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