NetMHCpan 3.0 Server
Prediction of peptide-MHC class I binding using artificial neural networks (ANNs).
View the version history of this server. All previous versions are available online, for comparison and reference.
NetMHCpan server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs). The method is trained on more than 180,000 quantitative binding data covering 172 MHC molecules from human (HLA-A, B, C, E), mouse (H-2), cattle (BoLA), primates (Patr, Mamu, Gogo) and swine (SLA). Furthermore, the user can obtain binding predictions to the any custom MHC class I molecule by uploading a full length MHC protein sequence.
Version 3.0 has been retrained on an extented data set of 8-13mer peptides using the method described in this paper
Predictions can be made for peptides of any length. Note that most HLA molecules have a strong preference for binding 9mers.
NEW: As of Oct 26th, an option to display sequence logo representations of the predicted binding motifs has been included. This option is available in the bar below as "Sequence motifs".
Link to table (tab seperated) describing the training data Training data table
Link to file with training data including partitions from 5 fold cross-validation Training data
For publication of results, please cite:
Data resources used to develop this server was obtained from
Would you prefer to run NetMHCpan at your own site? NetMHCpan v. 3.0
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
Scientific problems: Technical problems: