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SYFPEITHI

Database for Searching and T-Cell Epitope Prediction

  • Protocol
Immunoinformatics

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 409))

Summary

Reverse immunology has been used for about 12 years in order to identify T-cell epitopes from pathogens or tumor-associated antigens. In this chapter, we discuss the advantages and pitfalls of T-cell epitope prediction compared to classical experimental procedures such as epitope mapping and cloning experiments. We introduce our three established programs, SYFPEITHI, PAProc, and SNEP, which are freely accessible at no cost in the World Wide Web for the prediction of either HLA–peptide binding or proteasomal processing of antigens. We demonstrate the performance of our epitope prediction programs with several examples and in comparison to other epitope prediction programs available. We also reflect the actual possibilities and limitations of such computer-aided work.

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Authors and Affiliations

  1. Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany

    Mathias M. Schuler, Maria-Dorothea Nastke & Stefan Stevanović

Authors
  1. Mathias M. Schuler
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  2. Maria-Dorothea Nastke
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  3. Stefan Stevanović
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Editors and Affiliations

  1. The Jenner Institute, University of Oxford, Berkshire, UK

    Darren R. Flower

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© 2007 Humana Press Inc.

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Schuler, M.M., Nastke, MD., Stevanović, S. (2007). SYFPEITHI. In: Flower, D.R. (eds) Immunoinformatics. Methods in Molecular Biology™, vol 409. Humana Press. https://doi.org/10.1007/978-1-60327-118-9_5

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  • DOI: https://doi.org/10.1007/978-1-60327-118-9_5

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-699-3

  • Online ISBN: 978-1-60327-118-9

  • eBook Packages: Springer Protocols

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