Reimer Ulf
Computational Chemistry Department, Jerini AG, Invalidenstr. 130, D-10115 Berlin, Germany.
Methods Mol Biol. 2009;524:335-44. doi: 10.1007/978-1-59745-450-6_24.
The prediction of B-cell epitopes is desirable for designing peptide-based vaccines, or generating antibodies especially if the purified protein is difficult to obtain and immunization has to be performed with protein-derived synthetic peptides. A number of freely available tools predict epitopes from protein sequence or structural information. The handling of these tools is described and the predictive power is assessed using test data based on the proteome of HIV, where comprehensive epitope mapping data are available.
预测B细胞表位对于设计基于肽的疫苗或产生抗体是很有必要的,特别是当难以获得纯化蛋白且必须使用源自蛋白的合成肽进行免疫时。有许多免费工具可根据蛋白质序列或结构信息预测表位。本文描述了这些工具的使用方法,并基于HIV蛋白质组的测试数据评估了其预测能力,其中可获得全面的表位图谱数据。