Prediction of epitopes using neural network based methods
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 steps implemented in the methods. We go …
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 steps implemented in the methods. We go …