Services

NetMHCstabpan - 1.0

Pan-specific stability of peptide:MHC-I complexes


NetMHCstabpan server predicts binding stability of peptides to any known MHC molecule using artificial neural networks (ANNs). The method is trained on more than 25,000 quantitative stability data covering 75 different HLA molecules. The user can upload full length MHC protein sequences, and have the server predict MHC restricted peptides from any given protein of interest.

Predictions can be made for 8-14 mer peptides. Note, that all non 9mer predictions are made using approximations. Most HLA molecules have a strong preference for binding 9mers.

The prediction values are given in half life time in hours values and as %-Rank to a set of 200.000 random natural peptides.

The project is a collaboration between CBS and IMMI at Copenhagen university

Link to table (tab seperated) describing the training data Training data table



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