Trautwein Nico, Stevanović Stefan
Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Department of Immunology, University of Tübingen, Interfaculty Institute for Cell Biology, Tübingen, Germany.
Methods Mol Biol. 2013;960:159-168. doi: 10.1007/978-1-62703-218-6_13.
Major histocompatibility complex (MHC) class I peptide motifs are used on a regular basis to identify and predict MHC class I ligands and CD8(+) T-cell epitopes. This approach is above all an invaluable tool for the identification of disease-associated epitopes. As a matter of fact, the vast majority of T-cell epitopes discovered during the past two decades was identified by means of epitope prediction. Here we describe the steps which are necessary to establish MHC class I peptide motifs and to compose a reliable scoring matrix for epitope prediction. As an example, a scoring matrix for the prediction of HLA-B*35-presented T-cell epitopes will be developed by examining the characteristics of 76 naturally presented HLA ligands.
主要组织相容性复合体(MHC)I类肽基序经常用于识别和预测MHC I类配体及CD8(+) T细胞表位。这种方法首先是用于识别疾病相关表位的一项极有价值的工具。事实上,在过去二十年中发现的绝大多数T细胞表位都是通过表位预测来识别的。在此,我们描述建立MHC I类肽基序并构建用于表位预测的可靠评分矩阵所需的步骤。作为一个例子,将通过检查76个天然呈递的HLA配体的特征来开发用于预测HLA-B*35呈递的T细胞表位的评分矩阵。