PFRMAT SS
TARGET T0191
AUTHOR 4069-6308-1312
METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    7 (1 EBGHSTL )
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 0.996
I C 0.841
N C 0.634
A C 0.425
K C 0.491
T C 0.401
K E 0.636
V E 0.858
I E 0.911
G E 0.922
L E 0.898
I E 0.723
G E 0.401
H C 0.385
P C 0.421
V G 0.319
E G 0.300
H T 0.349
S C 0.376
F S 0.417
S C 0.549
P H 0.810
I H 0.883
M H 0.918
H H 0.970
N H 0.984
A H 0.988
A H 0.992
F H 0.991
K H 0.973
D H 0.875
K T 0.646
G T 0.793
L C 0.859
N C 0.629
Y E 0.653
V E 0.884
Y E 0.948
V E 0.911
A E 0.758
F E 0.597
D E 0.540
V C 0.512
L C 0.853
P G 0.550
E G 0.468
N G 0.357
L H 0.864
K H 0.975
Y H 0.985
V H 0.992
I H 0.989
D H 0.955
G H 0.931
A H 0.934
K H 0.880
A H 0.646
L T 0.756
G T 0.904
I C 0.721
V E 0.374
G E 0.728
F E 0.853
N E 0.906
V E 0.843
T E 0.636
I C 0.378
P C 0.275
H H 0.269
K H 0.695
I H 0.904
E H 0.892
I H 0.899
M H 0.905
K H 0.816
Y H 0.788
L H 0.628
D H 0.485
E H 0.424
I H 0.365
D C 0.619
K H 0.986
D H 0.989
A H 0.991
Q H 0.977
L H 0.856
I T 0.671
G T 0.816
A C 0.667
V E 0.382
N E 0.596
T E 0.783
I E 0.867
K E 0.886
I E 0.466
E T 0.519
D T 0.881
G T 0.501
K E 0.475
A E 0.905
I E 0.920
G E 0.826
Y E 0.670
N E 0.524
T C 0.387
D C 0.405
G T 0.269
I C 0.325
G C 0.826
A C 0.998
END