计算机算法结合实验技术进行T细胞表位筛选

Combining computer algorithms with experimental approaches to screen T cell epitopes

计算机算法与实验技术相结合的方法,已广泛用于各种免疫相关抗原T细胞表位的鉴定,对现在可获得的计算机预测方法,以及计算机算法与实验相结合鉴定T细胞表位的方法进行了综述,主要内容包括表位预测及抗原加工处理的预测。

The identification of T cell epitopes from immunologically relevant antigens remains a critical step in the development of vaccines. This review presents an overview of strategies that combine computer algorithms with experimental approaches for the screening of candidate epitope peptide from defined proteins. Several computer algorithms are currently being used for epitope prediction of various major histocompatibility complex (MHC) class I and II molecules, based either on the analysis of natural MHC ligands or on the binding properties of synthetic peptides. Moreover, the analysis of proteasomal digests of peptides and whole proteins has led to the development of algorithms for the prediction of proteasomal cleavages. In order to verify the generation of the predicted peptides during antigen processing in vivo as well as their immunogenic potential, several experimental approaches have been pursued in the recent past. Other strategies employ various methods for the testing of the recognition pattern towards target cells that express the antigen, and for the testing of the cytokine secreted by the activated T-cell.