SUBMISSION

Hover the mouse cursor over the symbol for a short description of the options

INPUT TYPE:

Paste a single sequence or several sequences in FASTA format into the field below:

... or upload a file in FASTA format directly from your local disk:

... or load some sample data:

PEPTIDE LENGTH:

You may select multiple lengths

SELECT SPECIES/LOCI:

Select Allele(s) (max 20 per submission)

... or type Allele names (i.e. HLA-A01:01) separated by commas and without spaces (max 20 per submission):

For a list of allowed allele names click here

... or paste a single full length MHC protein sequence in FASTA format into the field below:

... or load a file containing a full length MHC protein sequence in FASTA format directly from your local disk:

ADDITIONAL CONFIGURATION:

Threshold for strong binder: % Rank

Threshold for weak binder: % Rank

Filtering threshold for %Rank (leave -99 to print all)

Include BA predictions

Sort by prediction score

Save predictions to XLS file

Restrictions:
At most 500 sequences per submission; each sequence not more than 20,000 amino acids and not less than 8 amino acids. Max 20 MHC alleles per submission.

Confidentiality:
The sequences are kept confidential and will be deleted after processing.

CITATIONS

For publication of results, please cite:

This version: NetMHCpan-4.1 and NetMHCIIpan-4.0: Improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data
Birkir Reynisson, Bruno Alvarez, Sinu Paul, Bjoern Peters and Morten Nielsen
Accepted for publication, NAR Webserver issue 2020
NetMHCpan-4.0: Improved Peptide MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
Vanessa Jurtz, Sinu Paul, Massimo Andreatta, Paolo Marcatili, Bjoern Peters and Morten Nielsen
The Journal of Immunology (2017) ji1700893; DOI: 10.4049/jimmunol.1700893
Full text [PDF]
NetMHCpan-3.0: improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets
Morten Nielsen and Massimo Andreatta
Genome Medicine (2016): 8:33
Full text [PDF]
NetMHCpan, a method for MHC class I binding prediction beyond humans
Ilka Hoof, Bjoern Peters, John Sidney, Lasse Eggers Pedersen, Ole Lund, Soren Buus, and Morten Nielsen
Immunogenetics 61.1 (2009): 1-13
PMID: 19002680 Full text

DATA RESOURCES

Data resources used to develop this server was obtained from

IEDB database.
- Quantitative peptide binding data were obtained from the IEDB database.
IMGT/HLA database. Robinson J, Malik A, Parham P, Bodmer JG, Marsh SGE: IMGT/HLA - a sequence database for the human major histocompatibility complex. Tissue Antigens (2000), 55:280-287.
- HLA protein sequences were obtained from the IMGT/HLA database (version 3.1.0).

PORTABLE VERSION

Would you prefer to run NetMHCpan at your own site? NetMHCpan v. 4.1 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 download tap for academic users; other users are requested to contact CBS Software Package Manager at health-software@dtu.dk.