NetMHC 4.0 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
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.
NEW: View sequence motifs for the alleles in the NetMHC library. Click on Sequence Motifs in the pink bar below.
The project is a collaboration between CBS, ISIM, and LIAI.
CITATIONS AND FUNDING
Developed under the following contracts:
* National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, contract No. HHSN272201200010C
* Agencia Nacional de Promoción Científica y Tecnológica, Argentina (PICT-2012-0115)
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
Abstract - PubMed:
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., (2003) 12:1007-17
Abstract - PubMed:
Would you prefer to run NetMHC at your own site? NetMHC v. 4.0
will soon be 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