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生物信息学资源和工具用于构象 B 细胞表位预测。

Bioinformatics resources and tools for conformational B-cell epitope prediction.

机构信息

School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China.

出版信息

Comput Math Methods Med. 2013;2013:943636. doi: 10.1155/2013/943636. Epub 2013 Jul 21.

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.

摘要

鉴定能够引起强烈体液免疫反应的表位是免疫学领域的一个重要问题。通过实验方法定位表位在时间、成本和精力方面代价高昂;因此,计算方法以其低成本和高速的特点被用于预测 B 细胞表位。在本文中,我们回顾了构象 B 细胞表位预测的生物信息学资源和工具的最新进展,包括数据库、算法、网络服务器及其在解决相关领域问题中的应用。为了促进更好工具的发展,我们还广泛讨论了一些有前途的方向。

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