线性B细胞表位预测的生物信息学资源和工具的研究进展  

Progress in research on bioinformatics resources and tools for linear B cell epitope prediction

作　　者：刘洪波[1] 

机构地区：[1]桂林医学院第二附属医院检验科,广西桂林541199

出　　处：《中国生物制品学杂志》2016年第6期665-669,共5页Chinese Journal of Biologicals

基　　金：国家自然科学基金资助项目(81460304);广西自然科学基金资助项目(2015GXNSFDA139020);广西壮族自治区卫生厅科研课题(Z2014298)

摘　　要：B细胞表位鉴定是表位疫苗、免疫诊断试剂和治疗抗体研发的关键。表位的实验鉴定方法成本高,且费时费力;生物信息学方法为B细胞表位的筛选鉴定提供了一条经济、快速的技术路线。近10年来,线性B细胞表位预测的计算方法及相关数据库得到较快发展,但总体预测表现尚不能令人十分满意。本文就线性B细胞表位预测的生物信息学资源和工具的最新进展作一综述,并指出该领域当前存在的主要问题以及未来改进和发展的方向。Identification of B cell epitopes in target antigens is one of the key steps in the development of epitope-based vaccine, immunodiagnostic reagent and therapeutic antibody. Experimental identification of epitopes is expensive in cost,time and effort involved, while screening of epitopes based on bioinformatics prediction features a low cost and a high speed. Although computational methods and related databases for predicting linear B cell epitopes have developed rapidly in the last decade, the predictive performance remains far from ideal. In this article, we review the recent advances in research on bioinformatics resources and tools for linear B cell epitope prediction, and point out the main problems at present and some promising directions for their developments in this field.

关 键 词：线性B细胞表位 数据库 工具 机器学习 生物信息学 

分 类 号：Q-31[生物学]