PFRMAT SS
TARGET T0052
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-1234-5-IDaa13-9-6-11-9-3-8-7-ehl-seeded-trained.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    9	    6
METHOD	   11	    9
METHOD	    3	    8
METHOD	    7	    3
METHOD Input alignment (using the SAM/T98 method) had only one sequence,
METHOD so we expect this prediction to be quite poor.
METHOD
MODEL 1
L C 0.68
G C 0.72
K C 0.57
F C 0.46
S C 0.36
Q H 0.45
T H 0.43
C C 0.38
Y C 0.46
N C 0.45
S H 0.46
A H 0.41
I C 0.48
Q C 0.57
G C 0.63
S C 0.55
V E 0.54
L E 0.56
T E 0.48
S C 0.49
T C 0.58
C C 0.53
E C 0.47
R C 0.53
T C 0.73
N C 0.87
G C 0.91
G C 0.88
Y C 0.87
N C 0.84
T C 0.79
S C 0.73
S C 0.63
I C 0.59
D C 0.64
L C 0.61
N C 0.57
S H 0.54
V H 0.48
I C 0.47
E C 0.53
N C 0.75
V C 0.86
D C 0.84
G C 0.76
S C 0.65
L E 0.49
K E 0.58
W E 0.51
Q C 0.62
P C 0.75
S C 0.73
N C 0.52
F H 0.45
I H 0.52
E H 0.56
T H 0.44
C C 0.63
R C 0.68
N C 0.68
T C 0.67
N C 0.58
L C 0.51
A C 0.65
G C 0.80
S C 0.72
S H 0.71
E H 0.77
L H 0.84
A H 0.93
A H 0.95
E H 0.92
C H 0.83
K H 0.75
T H 0.79
R H 0.78
A H 0.73
Q H 0.67
Q H 0.52
F E 0.42
V E 0.44
S C 0.45
T C 0.44
K E 0.45
I C 0.54
N C 0.77
L C 0.79
D C 0.67
D H 0.51
H H 0.48
I C 0.47
A C 0.47
N C 0.59
I C 0.67
D C 0.74
G C 0.75
T C 0.74
L C 0.56
K C 0.46
Y C 0.44
E C 0.49
END