PFRMAT SS
TARGET T0188
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 T0188.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 38
METHOD
MODEL 1
M C 0.967
I E 0.728
I E 0.897
A E 0.887
I E 0.881
P E 0.747
V C 0.503
S C 0.358
E S 0.371
N S 0.363
R S 0.341
G C 0.382
K T 0.316
D T 0.312
S C 0.361
P C 0.329
I C 0.300
S C 0.357
E C 0.206
H T 0.203
F C 0.264
G C 0.306
R T 0.306
A C 0.590
P S 0.495
Y E 0.650
F E 0.979
A E 0.996
F E 0.997
V E 0.985
K E 0.945
V E 0.584
K T 0.331
N T 0.613
N S 0.438
A C 0.424
I E 0.897
A E 0.939
D E 0.923
I E 0.897
S E 0.900
V E 0.866
E E 0.756
E E 0.549
N C 0.496
P C 0.572
L T 0.257
A G 0.296
Q G 0.259
D T 0.253
H T 0.377
V C 0.324
H C 0.426
G C 0.411
A C 0.375
V H 0.834
P H 0.901
N H 0.913
F H 0.945
V H 0.954
K H 0.928
E H 0.838
K T 0.612
G T 0.919
A C 0.927
E S 0.470
L E 0.992
V E 0.999
I E 0.997
V E 0.940
R E 0.379
G C 0.358
I C 0.404
G C 0.619
R H 0.501
R H 0.688
A H 0.958
I H 0.992
A H 0.990
A H 0.990
F H 0.992
E H 0.978
A H 0.895
M T 0.795
G T 0.980
V C 0.946
K E 0.664
V E 0.943
I E 0.969
K E 0.948
G E 0.628
A C 0.374
S T 0.580
G S 0.428
T C 0.685
V H 0.963
E H 0.982
E H 0.990
V H 0.992
V H 0.992
N H 0.990
Q H 0.984
Y H 0.975
L H 0.914
S T 0.509
G T 0.421
Q C 0.682
L C 0.569
K C 0.503
D C 0.286
S C 0.335
D C 0.414
Y C 0.459
E C 0.453
V C 0.331
H S 0.304
D C 0.310
H C 0.333
H C 0.372
H C 0.446
H C 0.419
E C 0.473
H C 0.737
H C 0.995
END