# /usr/local/apache/htdocs/netMHCpan4/netMHCpan-4.0/Linux_x86_64/bin/netMHCpan -f /usr/local/apache/htdocs/gz/prediction/cubic-horizontal/file/peptide_19-06-03-11-32-57-36827800.txt -p -a HLA-B58:01 # Mon Jun 3 19:32:57 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/file/peptide_19-06-03-11-32-57-36827800.txt File name with input # -p 1 Use peptide input # -a HLA-B58:01 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-B58:01 HLA allele # [-f filename] /usr/local/apache/htdocs/gz/prediction/cubic-horizontal/file/peptide_19-06-03-11-32-57-36827800.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/netMHCpanC6x2Zv # Input is in PEPTIDE format # Make Eluted ligand likelihood predictions HLA-B58:01 : Distance to training data 0.000 (using nearest neighbor HLA-B58:01) # Rank Threshold for Strong binding peptides 0.500 # Rank Threshold for Weak binding peptides 2.000 ----------------------------------------------------------------------------------- Pos HLA Peptide Core Of Gp Gl Ip Il Icore Identity Score %Rank BindLevel ----------------------------------------------------------------------------------- 1 HLA-B*58:01 KSISSIFGY KSISSIFGY 0 0 0 0 0 KSISSIFGY PEPLIST 0.9308800 0.0310 <= SB 1 HLA-B*58:01 ISIPRSVGF ISIPRSVGF 0 0 0 0 0 ISIPRSVGF PEPLIST 0.8744000 0.0697 <= SB 1 HLA-B*58:01 KTINALVYF KTINALVYF 0 0 0 0 0 KTINALVYF PEPLIST 0.9446980 0.0261 <= SB 1 HLA-B*58:01 KSLVQYIKF KSLVQYIKF 0 0 0 0 0 KSLVQYIKF PEPLIST 0.7802740 0.1460 <= SB 1 HLA-B*58:01 VTGPVGQLW VTGPVGQLW 0 0 0 0 0 VTGPVGQLW PEPLIST 0.9941550 0.0027 <= SB 1 HLA-B*58:01 KLMGALDTF KLMGALDTF 0 0 0 0 0 KLMGALDTF PEPLIST 0.5731330 0.3945 <= SB 1 HLA-B*58:01 VASASAFTM VASASAFTM 0 0 0 0 0 VASASAFTM PEPLIST 0.5649660 0.4067 <= SB 1 HLA-B*58:01 ITARPVLW ITARPV-LW 0 0 0 6 1 ITARPVLW PEPLIST 0.7649340 0.1591 <= SB 1 HLA-B*58:01 ITTESIVIW ITTESIVIW 0 0 0 0 0 ITTESIVIW PEPLIST 0.9826060 0.0079 <= SB 1 HLA-B*58:01 IATESIVIW IATESIVIW 0 0 0 0 0 IATESIVIW PEPLIST 0.9754760 0.0117 <= SB 1 HLA-B*58:01 IAMESIVIW IAMESIVIW 0 0 0 0 0 IAMESIVIW PEPLIST 0.9786020 0.0097 <= SB ----------------------------------------------------------------------------------- Protein PEPLIST. Allele HLA-B*58:01. Number of high binders 11. Number of weak binders 0. Number of peptides 11 -----------------------------------------------------------------------------------