Class I T-cell epitope prediction: Improvements using a combination of proteasome cleavage, TAP affinity, and MHC binding

被引:23
作者
Doytchinova, IrIni A.
Flower, Darren R.
机构
[1] The Edward Jenner Institute for Vaccine Research, Compton
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
proteasome cleavage; epitope; additive method;
D O I
10.1016/j.molimm.2005.12.013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cleavage by the proteasome is responsible for generating the C terminus of T-cell epitopes. Modeling the process of proteasome cleavage as part of a multi-step algorithm for T-cell epitope prediction will reduce the number of non-binders and increase the overall accuracy of the predictive algorithm. Quantitative matrix-based models for prediction of the proteasome cleavage sites in a protein were developed using a training set of 489 naturally processed T-cell epitopes (nonamer peptides) associated with HLA-A and HLA-B molecules. The models were validated using an external test set of 227 T-cell epitopes. The performance of the models was good, identifying 76% of the C-termini correctly. The best model of proteasome cleavage was incorporated as the first step in a three-step algorithm for T-cell epitope prediction, where subsequent steps predicted TAP affinity and MHC binding using previously derived models. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2037 / 2044
页数:8
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