Prediction of epitopes using neural network based methods.

  title={Prediction of epitopes using neural network based methods.},
  author={Claus Lundegaard and Ole Lund and Morten Nielsen},
  journal={Journal of immunological methods},
  volume={374 1-2},
In this paper, we describe the methodologies behind three different aspects of the NetMHC family for prediction of MHC class I binding, mainly to HLAs. We have updated the prediction servers, NetMHC-3.2, NetMHCpan-2.2, and a new consensus method, NetMHCcons, which, in their previous versions, have been evaluated to be among the very best performing MHC:peptide binding predictors available. Here we describe the background for these methods, and the rationale behind the different optimization… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
43 Citations
63 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 43 extracted citations


Publications referenced by this paper.
Showing 1-10 of 63 references

Immunological Methods xxx (2010) xxx–xxx mouse and monkey MHC class I affinities for peptides of length 8-11

  • C. Lundegaard
  • Nucleic Acids Res
  • 2010
2 Excerpts

Similar Papers

Loading similar papers…