Prediction of peptide interactions with murine MHC class I (H2) molecules.
View the version history of this server.
All previous versions are available online, for comparison and
The NetH2pan server is a version of NetMHCpan dedicated to mouse MHC molecules.
The method was trained on binding affinity and ligand elution data from nine different H-2 class I molecules.
By default it predicts LIGAND likelihood scores, but it can be toggled to return predicted BINDING AFFINITY scores.
For publication of results, please cite:
NetH2pan: A Computational Tool to Guide MHC peptide prediction on Murine Tumors
Christa I. DeVette, Massimo Andreatta, Wilfried Bardet, Steven J. Cate, Vanessa I. Jurtz, Kenneth W. Jackson, Alana L. Welm, Morten Nielsen, William H. Hildebrand
Cancer Immunology Research (2018) DOI: 10.1158/2326-6066.CIR-17-0298
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
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),
- MHC protein sequences were obtained from the IMGT/HLA database (version 3.1.0).