Prediction Algorithm for Proteasomal Cleavages

 PAProC's location within the MHC class I antigen processing pathway.

Name of the amino acid sequence:
Type in your amino acid sequence (in 1-letter-code)

Which proteasome species should be used ?

Human proteasome Yeast proteasome
wild type I wild type
wild type II beta5/Pre2- single mutant
wild type III beta1/Pre3- single mutant
beta2/Pup1- single mutant
beta2/Pup1- beta1/Pre3- double mutant

Please choose the output style :
short form, number of amino acids per line: list of cleavage positions and strengths
long form list of cleavage positions only



This program was developed at the University of Tübingen, Germany, at the Department of Biomathematics and at the Department of Immunology .
We would be grateful for any feedback ! E-mail: alexander.nussbaum@curie.fr or christina.kuttler@uni-tuebingen.de
Back to home


Last update: 14.4.2005

Please cite the following article, if you want to publish the results of the program:
C. Kuttler, A.K. Nussbaum, T.P. Dick, H.-G. Rammensee, H. Schild, K.P. Hadeler, An algorithm for the prediction of proteasomal cleavages, J. Mol. Biol. 298 (2000), 417-429, and
A.K. Nussbaum, C. Kuttler, K.P. Hadeler, H.-G. Rammensee, H. Schild, PAProC: A Prediction Algorithm for Proteasomal Cleavages available on the WWW, Immunogenetics 53 (2001), 87-94
For comprehensive background information, please refer to From the test tube to the World Wide Web - The cleavage specificity of the proteasome (A.K. Nussbaum, dissertation, University of Tuebingen, Germany, 2001).
The use of PAProC is restricted to non-commercial purposes.
Inner surface of the yeast 20S proteasome; yellow: inhibitors bound to the three active sites [Groll et al. (1997), Nature].