中国科技核心期刊
CN:31-1600/Q
ISSN:1004-0374
“健康与疾病的免疫”国际学术研讨会通知      关于有网站冒充本刊网站的声明
《生命科学》 2010, 22(9): 946-951
构象性B细胞表位预测的免疫信息学方法及其网络资源
欧阳玉梅
(伊犁师范学院文理系计算机教研室,奎屯 833200)
摘 要:抗原表位预测是免疫信息学研究的重要方向之一,可以给实验提供重要的线索。B细胞表位或抗原决定簇是抗原中可被B细胞受体或抗体特异性识别并结合的部位。实际上,近90%的B细胞表位是构象性的。即使抗原蛋白质三级结构已知,B细胞表位预测仍然是一大挑战。该文结合实例阐述当今主要的构象性B细胞表位预测方法和算法:机器学习预测、非机器学习的计算预测、基于噬菌体展示数据的识别方法,以及一些也可用于构象性B细胞表位预测的通用蛋白质-蛋白质界面预测方法;介绍最新相关预测软件和Web服务资源,说明未来的研究趋势。
关键词:抗原;抗体;表位;预测;构象性
 
An introduction to the immunoinformatics methods for conformational B-cell epitope prediction and its web-based resources
OUYANG Yu-mei
(Department of Liberal Arts & Science, Yili Normal University, Kuitun 833200, China)
Abstract: Accurate prediction of epitopes is an important goal of immunoinformatics, which can give important clues to experiments. B-cell epitopes or antigenic determinant is a part of an antigen recognized by either a particular antibody molecule or a particular B-cell receptor of the immune system. Up to 90% of B-cell epitopes are conformational in nature. Even when the tertiary structure of the antigen is available, the accurate prediction of B-cell epitopes remains challenging. First, this review illustrated current prediction methods and algorithms for the conformational B-cell epitopes by describing some examples, including machine-learning approaches,computational prediction methods independent of machine-learning approach, Phage-displayed data based approaches, along with some universal recognizing approaches of protein-protein interface prediction. Next, it presented the latest software packages and web services available online that relate to conformational B-cell epitope prediction, and projected future developments.
Key words: antigen; antibody; epitope; prediction; conformational
 
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