Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 2037-2044 |
| Number of pages | 8 |
| Journal | Molecular Immunology |
| Volume | 43 |
| Issue number | 13 |
| Early online date | 9 Mar 2006 |
| DOIs | |
| Publication status | Published - May 2006 |
Keywords
- proteasome cleavage
- epitope
- additive method
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