PFRMAT SS
TARGET T0187
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 T0187.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 29
METHOD
MODEL 1
L C 0.827
K C 0.788
K C 0.695
P C 0.458
A E 0.930
A E 0.990
L E 0.994
I E 0.987
F E 0.934
G T 0.490
G T 0.752
E T 0.508
T E 0.726
V E 0.856
V E 0.965
H E 0.957
V E 0.867
K E 0.600
G C 0.461
N C 0.540
G C 0.577
I C 0.496
G C 0.545
G C 0.384
R H 0.774
N H 0.928
Q H 0.998
E H 0.998
L H 0.998
A H 0.998
L H 0.997
S H 0.991
A H 0.992
A H 0.982
I H 0.964
A H 0.941
L H 0.909
E H 0.851
G C 0.361
I T 0.820
E T 0.842
G T 0.820
V E 0.626
I E 0.896
L E 0.982
C E 0.959
S E 0.925
A E 0.746
G E 0.432
T T 0.543
D T 0.535
G T 0.537
T C 0.466
D C 0.364
G T 0.452
P T 0.483
T T 0.471
D T 0.378
A G 0.379
A T 0.368
G C 0.330
G E 0.520
I E 0.671
V E 0.530
D C 0.422
G H 0.439
S H 0.689
T H 0.875
A H 0.971
K H 0.983
T H 0.983
L H 0.982
K H 0.968
A H 0.945
M H 0.795
G C 0.835
E C 0.802
D C 0.806
P H 0.858
Y H 0.844
Q H 0.856
Y H 0.922
L H 0.917
K H 0.904
N H 0.757
N C 0.516
D C 0.744
S H 0.915
Y H 0.972
N H 0.973
A H 0.967
L H 0.958
K H 0.933
K H 0.797
S H 0.488
G C 0.582
A C 0.418
L E 0.782
L E 0.877
I E 0.860
T E 0.637
G T 0.460
P T 0.616
T T 0.541
G T 0.645
T T 0.563
N T 0.456
V T 0.490
N T 0.345
D E 0.710
L E 0.911
I E 0.952
I E 0.981
G E 0.964
L E 0.960
I E 0.882
V C 0.963
END