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Nucleic Acids Research Advance Access published online on April 24, 2008
Nucleic Acids Research, doi:10.1093/nar/gkn229
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Web Server

EpiToolKit—a web server for computational immunomics

Magdalena Feldhahn1,*, Philipp Thiel1, Mathias M. Schuler2, Nina Hillen2, Stefan Stevanovic2, Hans-Georg Rammensee2 and Oliver Kohlbacher1

1Simulation of Biological Systems, Center for Bioinformatics and 2Department of Immunology, Institute for Cell Biology, Eberhard Karls University Tübingen, Germany

*To whom correspondence should be addressed. Tel: +49 7071 29 70460; Fax: +49 7071 29 5152; Email: feldhahn{at}informatik.uni-tuebingen.de

Received January 31, 2008. Revised April 4, 2008. Accepted April 11, 2008.

Predicting the T-cell-mediated immune response is an important task in vaccine design and thus one of the key problems in computational immunomics. Various methods have been developed during the last decade and are available online. We present EpiToolKit, a web server that has been specifically designed to offer a problem-solving environment for computational immunomics. EpiToolKit offers a variety of different prediction methods for major histocompatibility complex class I and II ligands as well as minor histocompatibility antigens. These predictions are embedded in a user-friendly interface allowing refining, editing and constraining the searches conveniently. We illustrate the value of the approach with a set of novel tumor-associated peptides. EpiToolKit is available online at www.epitoolkit.org.

The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.


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