NetMHCstabpan 1.0 Server
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.
View the version history of this server.
All the previous versions are available on line, for comparison and
Link to table (tab seperated) describing the training data Training data table
For publication of results, please cite:
Pan-specific prediction of peptide-MHC-I complex stability; a correlate of T cell immunogenicity
Michael Rasmussen, Emilio Fenoy, Mikkel Harndahl, Anne Bregnballe Kristensen,
Ida Kallehauge Nielsen, Morten Nielsen, Soren Buus. Accepted for publication
Journal of Immunology, June 2016
Data resources used to develop this server was obtained from
- IEDB database.
- Quantitative peptide binding data were obtained
from the IEDB database.
- IMGT/HLA database. Robinson J, Malik A, Parham P, Bodmer JG,
Marsh SGE: IMGT/HLA - a sequence database for the human major histocompatibility complex. Tissue Antigens (2000),
- HLA protein sequences were obtained from the IMGT/HLA database (version 3.1.0).
Would you prefer to run NetMHCpan at your own site? NetMHCstabpan v. 1.0
is available as a stand-alone software package, with the same
functionality as the service above. Ready-to-ship packages
exist for the most common UNIX platforms. There is a
for academic users; other users are requested to contact
CBS Software Package Manager at