B细胞表位数据库与预测方法
首发时间:2013-11-14
摘要:B细胞表位是在抗原抗体的结合反应中抗原参与结合的部位,确定B细胞表位对于设计疫苗和药物具有重要的指导作用。随着数据挖掘技术的发展和表位数据库的建立,挖掘已有的结构和序列数据预测B细胞表位成为一种可能,从而产生了很多计算预测方法。论文介绍了常用的B细胞表位相关数据库和预测方法。数据库方面,介绍了数据来源和数据类型。预测方法方面,主要介绍基本原理。希望能够给相关研究者提供借鉴,更好的开展相关工作。
关键词: 计算机应用技术 B细胞表位 线性表位 构象表位 机器学习
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The databases and computational methods for B-cell epitopes
Abstract:B-cell epitope is part of the antigen involved in the antigen-antibody interaction, and determination of epitopes is critical for the drug and vaccine design. With the development of data mining technique and establishment of databases, it becomes possible to predict epitopes based on the sequences or structures, and a great number of computational methods are proposed. The paper reviews the state-of-the-art B-cell databases and prediction methods. The data sources are introduced; the principles of computational methods are analyzed. This paper is aimed to help the researchers to take the related studies.
Keywords: Technology of Computer Application B-cell epitope linear epitope conformational epitope machine learning
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