In the header of the out is indicated which prediction method and HLA allele were selected, as well as
the corresponding two threshold values defining high binding peptides, and weak binding peptides. For
Artificial neural network prediction high binding peptides have an IC50 value below 50 nM, and weak binding
peptides an IC50 values below 500 nM. For weight matrix prediction high binding peptides have a prediction score
greater than the 0.1% precentile score value of 1.000.000 random natural peptides, and weak binding peptides a
score value above the 1% percentile score of 1.000.000 random natural peptides.
In the header is a link to an .xls file which contains the output in a tab seperated text file. For the format of this file see: Description of xls file.
For Artificial Neural network (ANN) prediction the output consists of 6 columns. For weight matrix predictions the
output consists of 5 columns:
Peptide sequence (9mer)
Prediction score (called 1-log50K(aff) for ANN predictions)
Affinity as IC50 value in nM (only for ANN predictions)
Bind Level (WB for weak binder, SB for strong binder)
The predictions for each protein are summarized with a line stating the number of high and weak binding peptides