PFRMAT SS
TARGET T0137
METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-ebghtl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    6 (1 EBGHTL )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0137.t2k-thin90.a2m.gz
METHOD with weighted counts, using HenikoffWeight(-1 bits/column, 1)
METHOD Counts were regularized to probabilities using
METHOD /projects/compbio/lib/recode3.20comp
METHOD Total sequence weight for alignment was 111
METHOD
MODEL 1
M C 0.711
E C 0.551
A C 0.447
F E 0.424
L E 0.544
G E 0.917
T E 0.977
W E 0.979
K E 0.973
M E 0.927
E E 0.796
K E 0.599
S C 0.351
E C 0.424
G C 0.601
F H 0.894
D H 0.950
K H 0.970
I H 0.978
M H 0.983
E H 0.973
R H 0.967
L H 0.905
G C 0.968
V C 0.965
D C 0.967
F H 0.967
V H 0.983
T H 0.981
R H 0.986
K H 0.979
M H 0.975
G H 0.948
N H 0.914
L H 0.727
V C 0.385
K C 0.486
P C 0.435
N E 0.481
L E 0.933
I E 0.966
V E 0.973
T E 0.957
D E 0.584
L T 0.825
G T 0.866
G T 0.903
G C 0.444
K E 0.881
Y E 0.952
K E 0.974
M E 0.985
R E 0.973
S E 0.940
E E 0.762
S E 0.558
T E 0.435
F E 0.466
K E 0.466
T E 0.521
T E 0.853
E E 0.914
C E 0.933
S E 0.944
F E 0.917
K E 0.837
L E 0.559
G T 0.417
E E 0.555
K E 0.661
F E 0.686
K E 0.778
E E 0.757
V E 0.847
T E 0.495
P T 0.824
D T 0.971
S T 0.956
R E 0.582
E E 0.888
V E 0.907
A E 0.943
S E 0.959
L E 0.980
I E 0.985
T E 0.979
V E 0.812
E T 0.746
N T 0.957
G T 0.892
V E 0.779
M E 0.982
K E 0.987
H E 0.996
E E 0.988
Q E 0.976
D E 0.787
D T 0.670
K T 0.774
T T 0.783
K T 0.451
V E 0.596
T E 0.905
Y E 0.929
I E 0.960
E E 0.969
R E 0.974
V E 0.958
V E 0.930
E E 0.722
G T 0.860
N T 0.737
E E 0.908
L E 0.982
K E 0.989
A E 0.993
T E 0.988
V E 0.970
K E 0.909
V E 0.649
D T 0.813
E T 0.671
V E 0.905
V E 0.970
C E 0.982
V E 0.989
R E 0.968
T E 0.920
Y E 0.778
S E 0.734
K E 0.634
V C 0.614
A C 0.958
END