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 is the key to the development of epitope vaccines, immunodiagnostic reagents and therapeutic antibodies. Epitope experimental identification method is costly and time consuming; Bioinformatics methods provide an economical and rapid technical route for the screening and identification of B cell epitopes. Over the past 10 years, linear B cell epitope prediction methods and related databases have been developed rapidly, but the overall prediction performance is not yet very satisfactory. This review summarizes recent advances in bioinformatics resources and tools for predicting linear B cell epitopes and points out the current major issues in this area and the direction for future improvements and developments.