PFRMAT SS
TARGET t71-2nd_1:113
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded6-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 (1 EHL )
METHOD The input amino acid frequencies were determined from
METHOD alignment t71-2nd.t98_6.a2m.gz
METHOD with weighted counts, using HenikoffWeight(1 bits/column, 0.5)
METHOD The weighting was determined by the posterior distribution
METHOD after regularizing with recode3.20comp.
METHOD Counts were regularized to probabilities using
METHOD /projects/compbio/lib/recode3.20comp
METHOD Total sequence weight for alignment was 2.76942
METHOD
MODEL 1
F C 0.87
Q C 0.90
P C 0.88
T C 0.70
E C 0.51
M C 0.47
A C 0.55
S H 0.73
Q H 0.91
D H 0.94
F H 0.95
F H 0.95
Q H 0.93
R H 0.90
W H 0.85
K H 0.73
Q H 0.59
L C 0.53
S C 0.76
N C 0.73
P C 0.51
Q H 0.83
Q H 0.93
E H 0.94
V H 0.95
Q H 0.92
N H 0.84
I H 0.69
F H 0.58
K C 0.45
A C 0.52
K C 0.76
H C 0.89
P C 0.79
M C 0.56
D C 0.47
T H 0.72
E H 0.86
I H 0.87
T H 0.88
K H 0.89
A H 0.87
K H 0.83
I H 0.75
I H 0.60
G H 0.49
F C 0.57
G H 0.73
S H 0.77
A H 0.71
L H 0.67
L H 0.59
E C 0.44
E C 0.54
V C 0.78
D C 0.89
P C 0.88
N C 0.92
P C 0.63
A C 0.48
N C 0.50
F H 0.42
V H 0.38
G E 0.42
A E 0.56
G E 0.62
I E 0.66
I E 0.65
H E 0.53
T C 0.63
K C 0.77
T C 0.66
T C 0.68
Q C 0.57
I E 0.57
G E 0.71
C E 0.83
L E 0.89
L E 0.84
R E 0.74
L E 0.57
E C 0.66
P C 0.81
N C 0.80
L H 0.58
Q H 0.61
A H 0.52
Q H 0.40
M E 0.59
Y E 0.73
R E 0.83
L E 0.78
T E 0.69
L E 0.68
R E 0.54
T C 0.65
S C 0.85
K C 0.66
D H 0.61
T H 0.77
V H 0.84
S H 0.96
Q H 0.99
R H 0.98
L H 0.99
C H 0.99
E H 0.99
L H 0.97
L H 0.91
S H 0.77
E H 0.66
Q C 0.60
F C 0.71
END