Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Wissensmanagement in der Bioinformatik

MAPPP - MHC-I Antigenic Peptide Processing Prediction

MAPPP - MHC-I Antigenic Peptide Processing Prediction

Jörg Hakenberg1, Alexander Nussbaum2, Hansjörg Schild3, Hans-Georg Rammensee3, Christina Kuttler4, Hermann-Georg Holzhütter5, Peter-M. Kloetzel5, Stefan H.E. Kaufmann6, and Hans-Joachim Mollenkopf6, 7

1 University of Ulm, Dept. Theoretical Computer Science, 89069 Ulm, Germany;
2 The Scripps Research Institute, Dept. of Neuropharmacology, La Jolla, CA 92037, USA;
3 University of Tübingen, Dept. of Immunology, 72076 Tübingen, Germany;
4 University of Tübingen, Dept. of Biomathematics, 72076 Tübingen, Germany;
5 Humboldt-University Berlin, Institute for Biochemistry, 10117 Berlin, Germany;
6 Max-Planck-Insitute for Infection Biology, Dept. of Immunology, 10117 Berlin, Germany;
7 Corresponding author. Present adress: Max-Planck-Institute for Infection Biology, DNA Array Core Facility, 10117 Berlin, Germany.


Summary: MAPPP is a tool for prediction of possible antigenic peptides presented on the cell surface by MHC class I complexes (MHC-I) to CD8 positive T-lymphocytes as immunodominant epitopes. It combines existing predictions of proteasomal cleavage of antigenic proteins to peptides and subsequent peptide anchoring to MHC-I molecules.

Availability: MAPPP is freely-available for online usage at Expert mode predictions can be carried out after registration as permanent user after acceptance of a disclaimer and limitation of liability.