NetMHCstab 1.0 Server
NetMHCstab-1.0 predicts the stability of peptide binding to a number of different MHC molecules using artificial neural networks (ANNs).
ANNs have been trained for 13 different Human MHC (HLA) alleles representing
11 of the 12 common HLA A and B Supertypes as defined by Lund et al. (2004).
Prediction values are given in hours (half-life).
Predictions of lengths 8-14: Predictions can be made for lengths
between 8 and 14 for all alleles using an approximation algorithm
using ANNs trained on 9mer peptides.
Caution should be taken
for 8mer predictions as some alleles might not bind 8mers to any
Highly and weakly stable binding peptides are indicated in the output.
The project is a collaboration between CBS and IMMI.
For publication of results, please cite:
NetMHCstab - predicting stability of peptide:MHC-I complexes; impacts for CTL epitope discovery
Kasper W. Joergensen, Michael Rasmussen, Soren Buus, and Morten Nielsen
Immunology. 2013 Aug 8. doi: 10.1111/imm.12160. [Epub ahead of print]
Would you prefer to run NetMHCstab at your own site? NetMHCstab v. 1.0
will soon be made available as a stand-alone software package for academic users with the same
functionality as the service above. Other users are requested to contact
CBS Software Package Manager at
Version 2.8 will be available for download with the near future.