NetMHC 4.0 Motif Viewer
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
ANNs have been trained for 81 different Human MHC alleles including HLA-A, -B, -C and -E.
Furthermore, predictions for 41 animal (Monkey, Cattle, Pig, and Mouse) alleles are available. If your molecule of interest is not found in the list below, please use NetMHCpan which can predict peptide-MHC class I binding for any allele of known sequence.
Predictions can be made for peptides of any length.
Note that most HLA molecules have a strong preference for binding 9mers. Predictions for peptides longer than 11 amino acids should be taken with caution.
For publication of results, please cite:
Gapped sequence alignment using artificial neural networks: application to the MHC class I system.
Andreatta M, Nielsen M
Bioinformatics (2016) Feb 15;32(4):511-7
Reliable prediction of T-cell epitopes using neural networks with novel
Nielsen M, Lundegaard C, Worning P, Lauemoller SL, Lamberth K, Buus S,
Brunak S, Lund O.
Protein Sci., 12:1007-17, 2003.
View the abstract or
the full text version at PMID: