Schuler Mathias M, Nastke Maria-Dorothea, Stevanovikć Stefan
Department of Immunology, Institute for Cell Biology, University of Tübingen, Germany.
Methods Mol Biol. 2007;409:75-93. doi: 10.1007/978-1-60327-118-9_5.
Reverse immunology has been used for about 12 years in order to identify T-cell epitopes from pathogens or tumor-associated antigens. In this chapter, we discuss the advantages and pitfalls of T-cell epitope prediction compared to classical experimental procedures such as epitope mapping and cloning experiments. We introduce our three established programs, SYFPEITHI, PAProc, and SNEP, which are freely accessible at no cost in the World Wide Web for the prediction of either HLA-peptide binding or proteasomal processing of antigens. We demonstrate the performance of our epitope prediction programs with several examples and in comparison to other epitope prediction programs available. We also reflect the actual possibilities and limitations of such computer-aided work.
反向免疫学已被应用约12年,用于从病原体或肿瘤相关抗原中鉴定T细胞表位。在本章中,我们将讨论与经典实验方法(如表位定位和克隆实验)相比,T细胞表位预测的优点和缺陷。我们介绍我们已建立的三个程序SYFPEITHI、PAProc和SNEP,它们可在万维网上免费获取,用于预测HLA-肽结合或抗原的蛋白酶体加工。我们通过几个例子展示了我们的表位预测程序的性能,并与其他可用的表位预测程序进行了比较。我们还思考了这种计算机辅助工作的实际可能性和局限性。