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Nucleic Acids Research 2006 34(Web Server issue):W194-W197; doi:10.1093/nar/gkl284
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© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oxfordjournals.org

Article

SVMHC: a server for prediction of MHC-binding peptides

Pierre Dönnes* and Oliver Kohlbacher

Division for Simulation of Biological Systems, WSI/ZBIT, Eberhard Karls University Tübingen Sand 14, D-72076 Tübingen, Germany

*To whom correspondence should be addressed. Tel: +49 7071 29 70459; Fax: +49 7071 29 5152; Email: doennes{at}informatik.uni-tuebingen.de

Received February 14, 2006. Revised March 2, 2006. Accepted April 5, 2006.

Identification of MHC-binding peptides is a prerequisite in rational design of T-cell based peptide vaccines. During the past decade a number of computational approaches have been introduced for the prediction of MHC-binding peptides, efficiently reducing the number of candidate binders that need to be experimentally verified. Here the SVMHC server for prediction of both MHC class I and class II binding peptides is presented. SVMHC offers fast analysis of a wide range of alleles and prediction results are given in several comprehensive formats. The server can be used to find the most likely binders in a protein sequence and to investigate the effects of single nucleotide polymorphisms in terms of MHC-peptide binding. The SVMHC server is accessible at http://www-bs.informatik.uni-tuebingen.de/SVMHC/.


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M. Feldhahn, P. Thiel, M. M. Schuler, N. Hillen, S. Stevanovic, H.-G. Rammensee, and O. Kohlbacher
EpiToolKit--a web server for computational immunomics
Nucleic Acids Res., July 1, 2008; 36(suppl_2): W519 - W522.
[Abstract] [Full Text] [PDF]


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