Literature DB >> 12807816

Predicting proteasomal cleavage sites: a comparison of available methods.

Patricia Saxová1, Søren Buus, Søren Brunak, Can Keşmir.   

Abstract

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 approximately 70% 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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Year:  2003        PMID: 12807816     DOI: 10.1093/intimm/dxg084

Source DB:  PubMed          Journal:  Int Immunol        ISSN: 0953-8178            Impact factor:   4.823


  32 in total

1.  Discriminating self from nonself with short peptides from large proteomes.

Authors:  Nigel J Burroughs; Rob J de Boer; Can Keşmir
Journal:  Immunogenetics       Date:  2004-07-30       Impact factor: 2.846

2.  Mapping the landscape of host-pathogen coevolution: HLA class I binding and its relationship with evolutionary conservation in human and viral proteins.

Authors:  Tomer Hertz; David Nolan; Ian James; Mina John; Silvana Gaudieri; Elizabeth Phillips; Jim C Huang; Gonzalo Riadi; Simon Mallal; Nebojsa Jojic
Journal:  J Virol       Date:  2010-11-17       Impact factor: 5.103

3.  The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage.

Authors:  Morten Nielsen; Claus Lundegaard; Ole Lund; Can Keşmir
Journal:  Immunogenetics       Date:  2005-03-03       Impact factor: 2.846

4.  A critical cross-validation of high throughput structural binding prediction methods for pMHC.

Authors:  Bernhard Knapp; Ulrich Omasits; Sophie Frantal; Wolfgang Schreiner
Journal:  J Comput Aided Mol Des       Date:  2009-02-05       Impact factor: 3.686

5.  Computational prediction of cleavage using proteasomal in vitro digestion and MHC I ligand data.

Authors:  Yu-feng Lu; Hao Sheng; Yi Zhang; Zhi-yang Li
Journal:  J Zhejiang Univ Sci B       Date:  2013-09       Impact factor: 3.066

6.  Prediction of epitopes using neural network based methods.

Authors:  Claus Lundegaard; Ole Lund; Morten Nielsen
Journal:  J Immunol Methods       Date:  2010-10-31       Impact factor: 2.303

Review 7.  Overview of computational vaccinology: vaccine development through information technology.

Authors:  Nishita Vaishnav; Aparna Gupta; Sneha Paul; Georrge J John
Journal:  J Appl Genet       Date:  2014-12-23       Impact factor: 3.240

8.  Proteasomal cleavage site prediction of protein antigen using BP neural network based on a new set of amino acid descriptor.

Authors:  Yuanqiang Wang; Yong Lin; Mao Shu; Rui Wang; Yong Hu; Zhihua Lin
Journal:  J Mol Model       Date:  2013-04-13       Impact factor: 1.810

9.  Amyloid-β peptide is a substrate of the human 20S proteasome.

Authors:  Xiaobei Zhao; Jerry Yang
Journal:  ACS Chem Neurosci       Date:  2010-10-20       Impact factor: 4.418

10.  Human self-protein CD8+ T-cell epitopes are both positively and negatively selected.

Authors:  Michal Almani; Shai Raffaeli; Tal Vider-Shalit; Lea Tsaban; Vered Fishbain; Yoram Louzoun
Journal:  Eur J Immunol       Date:  2009-04       Impact factor: 5.532

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