4.5 Article

Predicting proteasomal cleavage sites:: a comparison of available methods

Journal

INTERNATIONAL IMMUNOLOGY
Volume 15, Issue 7, Pages 781-787

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/intimm/dxg084

Keywords

artificial neural network; cleavage site prediction; MHC class I epitope; proteasome; protein degradation

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The proteasome plays an essential role in the immune responses of vertebrates. By degrading intercellular proteins from self and non-self, the proteasome produces the majority of the peptides that are presented to cytotoxic T cells (CTL). There is accumulating evidence that the C-terminal, in particular, of CTL epitopes is cleaved precisely by the proteasome, whereas the N-terminal is produced with an extension, and later trimmed by peptidases in the cytoplasm and in the endoplasmic reticulum. Recently, three publicly available methods have been developed for prediction of the specificity of the proteasome. Here, we compare the performance of these methods on a large set of CTL epitopes. The best method, NetChop at www.cbs.dtu.dk/Services/NetChop, can capture similar to70% of the C-termini correctly. This result suggests that the predictions can still be improved, particularly if more quantitative degradation data become available.

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