NetMHC 3.4 Server
NetMHC 3.4 server predicts binding of peptides to a number of different HLA alleles using artificial neural networks (ANNs).
View the version history of this server. All the previous versions are available on line, for comparison and reference.
ANNs have been trained for 78 different Human MHC (HLA) alleles representing all 12 HLA A and B Supertypes as defined by Lund et al. (2004). Furthermore 41 animal (Monkey, Cattle, Pig, and Mouse) allele predictions are available.
Prediction values are given in nM IC50 values.
Predictions of lengths 8-14:
Predictions can be made for lengths between 8 and 14 for all alleles
using an novel approximation algorithm using ANNs trained on 9mer
peptides. Probably because of the limited
amount of available 10mer data this method has a better predictive value than
ANNs trained on 10mer data.
Strong and weak binding peptides are indicated in the output. In the selection window for HLA alleles, the recommended allele for each HLA supertype is indicated.
The project is a collaboration between CBS and IMMI.
As of June 9, 2015, a minor bug in the downloadable/standalone version of NetMHC-3.4 has been identified and corrected. If you have problems getting the NetMHC-3.4 stand alone code to function please refer to How to correct the bug.
CITATIONS AND FUNDING
Developed under the following NIH contracts:* Immune Epitope Database, contract no.: #HHSNN26600400006C
* Large Scale Antibody and T-cell Epitope Discovery, contract no. : #HHSN266200400025C
* Discovery of epitopes of NIAID category A-C pathogens using bioinformatics and immunology, contract no. : #HHSN266200400083C
For publication of results, please cite:
Would you prefer to run NetMHC at your own site? NetMHC v. 3.4
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: