PFRMAT SS
TARGET T0404
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 T0404.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 46
METHOD
MODEL 1
M C 0.808
S C 0.715
K C 0.572
R C 0.460
A C 0.357
N E 0.585
K E 0.827
L E 0.895
V E 0.948
I E 0.942
V E 0.900
T E 0.581
E C 0.573
K H 0.345
V H 0.462
L H 0.494
L H 0.745
K H 0.720
K H 0.891
V H 0.985
A H 0.995
K H 0.997
I H 0.998
I H 0.997
E H 0.991
E H 0.972
A H 0.838
G C 0.908
A C 0.798
T C 0.528
G E 0.730
Y E 0.844
T E 0.917
V E 0.857
V E 0.674
D E 0.378
T T 0.376
G C 0.495
G C 0.493
K C 0.477
G C 0.411
S T 0.570
R T 0.553
N T 0.552
V E 0.359
R E 0.372
S T 0.369
T T 0.464
G T 0.438
K T 0.416
P T 0.334
N T 0.335
T T 0.379
S E 0.309
D E 0.416
T E 0.514
D E 0.485
S T 0.328
N E 0.382
V E 0.368
K E 0.463
F E 0.864
E E 0.958
V E 0.973
L E 0.953
T E 0.947
E E 0.859
N C 0.673
R H 0.765
E H 0.823
M H 0.845
A H 0.828
E H 0.907
K H 0.885
I H 0.916
A H 0.911
D H 0.911
Q H 0.924
V H 0.945
A H 0.948
I H 0.920
K H 0.810
F H 0.661
F H 0.350
T T 0.412
D T 0.486
Y T 0.490
A E 0.412
G E 0.925
I E 0.985
I E 0.988
Y E 0.982
I E 0.916
C E 0.577
E E 0.463
A E 0.624
E E 0.803
V E 0.864
L E 0.750
Y E 0.425
G T 0.323
R T 0.274
T T 0.265
F T 0.410
C T 0.462
G T 0.692
P T 0.688
D T 0.495
G C 0.568
C C 0.941
END