# /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/bin/netMHCpan -f /usr/local/apache/htdocs/gz/prediction/cubic-horizontal/file1/pep2_19-05-30-02-50-34-5985000.txt -p -a HLA-A01:01
# Thu May 30 22:50:34 2019
# User: root
# PWD : /usr/local/apache/htdocs/gz/prediction/cubic-horizontal
# Host: Linux iZbp17uatlyfuye40s01ymZ 3.10.0-693.21.1.el7.x86_64 x86_64
# -f       /usr/local/apache/htdocs/gz/prediction/cubic-horizontal/file1/pep2_19-05-30-02-50-34-5985000.txt File name with input
# -p       1                    Use peptide input
# -a       HLA-A01:01           HLA allele
# Command line parameters set to:
#	[-rdir filename]     /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64 Home directory for NetMHpan
#	[-syn filename]      /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/data/synlist.bin Synaps file
#	[-v]                 0                    Verbose mode
#	[-dirty]             0                    Dirty mode, leave tmp dir+files
#	[-tdir filename]     /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/tmp/netMHCpanXXXXXX Temporary directory (made with mkdtemp)
#	[-hlapseudo filename] /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/data/MHC_pseudo.dat File with HLA pseudo sequences
#	[-hlaseq filename]                        File with full length HLA sequences
#	[-a line]            HLA-A01:01           HLA allele
#	[-f filename]        /usr/local/apache/htdocs/gz/prediction/cubic-horizontal/file1/pep2_19-05-30-02-50-34-5985000.txt File name with input
#	[-w]                 0                    w option for webface
#	[-s]                 0                    Sort output on descending affinity
#	[-p]                 1                    Use peptide input
#	[-rth float]         0.500000             Rank Threshold for high binding peptides
#	[-rlt float]         2.000000             Rank Threshold for low binding peptides
#	[-l string]          8,9,10,11            Peptide length [8-11] (multiple length with ,)
#	[-xls]               0                    Save output to xls file
#	[-xlsfile filename]  NetMHCpan_out.xls    Filename for xls dump
#	[-t float]           -99.900002           Threshold for output
#	[-thrfmt filename]   /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/data/threshold/%s.thr.%s Format for threshold filenames
#	[-expfix]            0                    Exclude prefix from synlist
#	[-version filename]  /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/data/version File with version information
#	[-inptype int]       0                    Input type [0] FASTA [1] Peptide
#	[-listMHC]           0                    Print list of alleles included in netMHCpan
#	[-allname filename]  /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/data/allelenames File with print names for alleles
#	[-BA]                0                    Make Binding affinity prediction

# NetMHCpan version 4.0

# Tmpdir made /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/tmp/netMHCpan96dVQs
# Input is in PEPTIDE format

# Make Eluted ligand likelihood predictions

HLA-A01:01 : Distance to training data  0.000 (using nearest neighbor HLA-A01:01)

# Rank Threshold for Strong binding peptides   0.500
# Rank Threshold for Weak binding peptides   2.000
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  Pos          HLA         Peptide       Core Of Gp Gl Ip Il        Icore        Identity     Score   %Rank  BindLevel
-----------------------------------------------------------------------------------
    1  HLA-A*01:01      AAFHGVFQKY  AAFHGVFKY  0  7  1  0  0   AAFHGVFQKY         PEPLIST 0.2592820  1.0468 <= WB
    1  HLA-A*01:01       AAGFVTEIK  AAGFVTEIK  0  0  0  0  0    AAGFVTEIK         PEPLIST 0.0050350 13.7849
    1  HLA-A*01:01      AALLQVTLLL  ALLQVTLLL  0  1  1  0  0   AALLQVTLLL         PEPLIST 0.0015620 26.5909
    1  HLA-A*01:01      AALMELLWEK  AAMELLWEK  0  2  1  0  0   AALMELLWEK         PEPLIST 0.0017370 25.0598
    1  HLA-A*01:01     AALNPLVYGVK  AALNPLVYK  0  8  2  0  0  AALNPLVYGVK         PEPLIST 0.0009840 33.7797
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Protein PEPLIST. Allele HLA-A*01:01. Number of high binders 0. Number of weak binders 1. Number of peptides 5

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