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NetMHCstabpan 1.0 ServerNetMHCstabpan 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 reference. Link to table (tab seperated) describing the training data Training data table
CITATIONSFor publication of results, please cite:
DATA RESOURCESData resources used to develop this server was obtained from
PORTABLE VERSION
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
download page
for academic users; other users are requested to contact
CBS Software Package Manager at
software@cbs.dtu.dk.
GETTING HELP
Scientific problems:
Technical problems:
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