PFRMAT SS
TARGET T0191
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 T0191.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 105
METHOD
MODEL 1
M C 0.779
I C 0.573
N C 0.629
A T 0.482
K T 0.471
T E 0.337
K E 0.668
V E 0.831
I E 0.888
G E 0.914
L E 0.925
I E 0.821
G E 0.441
H C 0.403
P T 0.511
V T 0.546
E T 0.458
H T 0.561
S T 0.468
F C 0.511
S C 0.742
P C 0.692
I H 0.486
M H 0.924
H H 0.983
N H 0.987
A H 0.994
A H 0.990
F H 0.990
K H 0.984
D H 0.980
K H 0.906
G C 0.879
L C 0.824
N C 0.760
Y E 0.593
V E 0.886
Y E 0.924
V E 0.886
A E 0.762
F E 0.584
D E 0.582
V C 0.470
L C 0.527
P G 0.531
E G 0.493
N G 0.396
L H 0.938
K H 0.963
Y H 0.953
V H 0.965
I H 0.965
D H 0.978
G H 0.977
A H 0.970
K H 0.943
A H 0.875
L H 0.452
G C 0.763
I C 0.594
V C 0.412
G E 0.792
F E 0.887
N E 0.847
V E 0.773
T E 0.494
I C 0.453
P T 0.421
H H 0.786
K H 0.936
I H 0.946
E H 0.972
I H 0.982
M H 0.964
K H 0.960
Y H 0.954
L H 0.928
D H 0.843
E H 0.710
I C 0.468
D C 0.857
K H 0.950
D H 0.936
A H 0.905
Q H 0.907
L H 0.861
I H 0.715
G C 0.446
A C 0.364
V E 0.545
N E 0.589
T E 0.837
I E 0.902
K E 0.932
I E 0.864
E T 0.552
D T 0.903
G T 0.846
K E 0.538
A E 0.773
I E 0.752
G E 0.641
Y E 0.357
N T 0.341
T C 0.390
D C 0.385
G C 0.396
I C 0.551
G C 0.578
A C 0.878
END