Prediction of epitopes using neural network based methods.

@article{Lundegaard2011PredictionOE,
  title={Prediction of epitopes using neural network based methods.},
  author={Claus Lundegaard and Ole Lund and Morten Nielsen},
  journal={Journal of immunological methods},
  year={2011},
  volume={374 1-2},
  pages={26-34}
}
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

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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
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