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NetMHC 2.0 Server
NetMHC 2.0 server predicts binding of peptides
to a number of different HLA alleles using artificial neural networks
(ANNs)
and hidden markov models (HMMs).
Predictions can be obtained for 12 supertypes, and 120 individual alleles
using matrices (ungapped HMMs) generated with data from public databases.
Furthermore ANNs have been trained for 10 different
alleles representing 7 supertypes.
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The project is collaboration between CBS and IMMI.
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CITATIONS
For publication of results, please cite:
Sensitive quantitative predictions of peptide-MHC binding
by a 'Query by Committee' artificial neural network approach.
Buus S, Lauemoller SL, Worning P, Kesmir C, Frimurer T, Corbet S,
Fomsgaard A, Hilden J,Holm A, Brunak S.
Tissue Antigens., 62:378-84, 2003.
View the abstract or
the full text version at PMID:
14617044
Reliable prediction of T-cell epitopes using neural networks with novel
sequence representations.
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:
12717023
Improved prediction of MHC class I and class II epitopes using a novel
Gibbs sampling approach.
Nielsen M, Lundegaard C, Worning P, Hvid CS, Lamberth K, Buus S, Brunak S,
Lund O.
Bioinformatics, 20(9):1388-97, 2004.
View the abstract or
the full text version at PMID:
14962912
PORTABLE VERSION
Would you prefer to run NetMHC at your own site? The NetMHC 2.0 package is
in preparation. It will soon be available for the most common UNIX
platforms including
MIPS (under IRIX, Silicon Graphics),
SPARC (under Solaris, Sun),
Alpha (under OSF1) and
Pentium family (under Linux).
Send inquiries by e-mail to
software@cbs.dtu.dk.
GETTING HELP
Scientific problems:
Technical problems:
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