PFRMAT SS
TARGET T0190
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 T0190.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 36
METHOD
MODEL 1
A C 0.997
Q C 0.870
Q C 0.455
N C 0.591
I C 0.494
L C 0.397
S E 0.546
V E 0.837
H E 0.918
I E 0.923
L E 0.857
N E 0.664
Q E 0.433
Q T 0.379
T T 0.548
G T 0.346
K C 0.415
P C 0.449
A C 0.587
A T 0.443
D T 0.388
V C 0.860
T E 0.811
V E 0.951
T E 0.990
L E 0.980
E E 0.961
K E 0.878
K E 0.501
A T 0.349
D T 0.755
N S 0.360
G C 0.446
W E 0.582
L E 0.721
Q E 0.669
L E 0.702
N E 0.681
T E 0.631
A E 0.652
K E 0.675
T E 0.389
D C 0.824
K T 0.880
D T 0.721
G S 0.697
R C 0.598
I C 0.365
K C 0.503
A C 0.350
L C 0.391
W C 0.562
P C 0.652
E G 0.351
Q G 0.433
T G 0.368
A C 0.396
T C 0.426
T E 0.561
G E 0.771
D E 0.889
Y E 0.947
R E 0.982
V E 0.976
V E 0.968
F E 0.922
K E 0.548
T C 0.373
G H 0.822
D H 0.893
Y H 0.952
F H 0.959
K H 0.910
K H 0.674
Q T 0.916
N T 0.943
L C 0.802
E C 0.846
S C 0.492
F C 0.422
F C 0.510
P C 0.499
E E 0.463
I E 0.628
P E 0.917
V E 0.981
E E 0.994
F E 0.983
H E 0.954
I E 0.773
N C 0.358
K C 0.575
V T 0.791
N T 0.747
E C 0.381
H E 0.541
Y E 0.795
H E 0.934
V E 0.935
P E 0.902
L E 0.912
L E 0.880
L E 0.684
S C 0.589
Q T 0.641
Y T 0.708
G C 0.287
Y C 0.315
S E 0.341
T E 0.304
Y E 0.297
R C 0.349
G C 0.741
S C 0.987
END