PFRMAT SS
TARGET T0514
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 T0514.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 83
METHOD
MODEL 1
S C 0.774
S C 0.516
L C 0.450
T C 0.353
E E 0.510
T E 0.440
Y T 0.582
G T 0.691
L T 0.438
W E 0.737
S E 0.935
I E 0.968
N E 0.949
C E 0.902
G E 0.765
I E 0.539
Q T 0.708
E T 0.860
G T 0.869
K T 0.713
K C 0.465
V E 0.731
C E 0.869
F E 0.928
M E 0.929
H E 0.934
R E 0.927
Q E 0.916
E E 0.901
V E 0.886
N E 0.542
D T 0.832
Q T 0.907
N T 0.864
R E 0.500
V E 0.929
V E 0.987
V E 0.993
A E 0.996
M E 0.995
S E 0.992
V E 0.990
V E 0.984
L E 0.961
N E 0.635
A T 0.880
D T 0.935
G T 0.822
V C 0.506
V E 0.896
S E 0.975
G E 0.995
N E 0.994
L E 0.995
T E 0.989
V E 0.915
P E 0.495
F T 0.564
G T 0.487
I T 0.376
L E 0.438
V E 0.365
S T 0.742
K T 0.853
P T 0.818
V E 0.573
R E 0.835
L E 0.949
Q E 0.931
V E 0.823
D T 0.519
E T 0.759
G T 0.694
K T 0.685
A T 0.524
V C 0.401
I C 0.370
E C 0.385
T C 0.461
G E 0.431
I E 0.715
R E 0.795
T E 0.790
C E 0.562
V T 0.396
P T 0.596
A T 0.644
G E 0.415
C E 0.805
I E 0.940
V E 0.948
P E 0.913
I E 0.800
V C 0.471
F C 0.795
D C 0.892
K H 0.902
N H 0.953
Y H 0.983
V H 0.998
A H 0.997
A H 0.993
L H 0.992
R H 0.984
A H 0.842
G C 0.684
K C 0.680
H E 0.527
L E 0.811
K E 0.939
L E 0.978
A E 0.979
M E 0.972
T E 0.949
I E 0.829
A E 0.572
A E 0.354
P T 0.540
G T 0.741
E T 0.740
P T 0.688
P E 0.382
L E 0.645
N E 0.785
D E 0.806
L E 0.890
F E 0.915
V E 0.889
Q E 0.774
L E 0.259
N T 0.309
G H 0.399
F H 0.768
S H 0.966
N H 0.980
A H 0.986
L H 0.983
N H 0.948
R H 0.957
L H 0.916
I H 0.821
A H 0.761
L H 0.713
Q H 0.563
K C 0.971
END