ADDITIONAL CONFIGURATION
In this section, the user may define additional parameters to further customize the run:
5) & 6) Specify thresholds for strong and weak binders. They are expressed in terms of %Rank, that is percentile of the predicted binding affinity compared to the distribution of affinities calculated on set of random natural peptides. The peptide will be identified as a strong binder if it is found among the top x% predicted peptides, where x% is the specified threshold for strong binders (default: 0.5%). The peptide will be identified as a weak binder if the % Rank is above the threshold of the strong binders but below the specified threshold for the weak binders (default: 2%).
7) Specify a %Rank threshold to filter out predictions. Only sequences with a predicted %Rank value less than the specified threshold will be printed. To print all predictions, leave this value set to -99.
8) Tick this box to have the output sorted by descending prediction score.
9) Tick this box to exclude expression values from the prediction. The method will ignore expression values in the input file, if present.
10) Specify the maximum TPM value to map input TPM values to the [0,1] interval. If the values already fall within this unit range, set this option to -1.
11) Load a file with a reference protein expression database. The file must contain two columns: [PROT_ID] [TPM]. This file will be used perform automatic TPM value annotation of input peptides or proteins (FASTA format). Be aware that the input peptides (or proteins) must have PROT_ID(s) that match the ones present in the provided database.
12) Enable this option to export the prediction output to .XLS format (readable by most spreadsheet softwares, like Microsoft Excel).