PFRMAT SS
TARGET T0630
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 T0630.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 224
METHOD
MODEL 1
M C 0.743
R C 0.605
A C 0.438
P T 0.463
I T 0.533
P T 0.476
E C 0.605
P C 0.793
K C 0.495
P T 0.552
G T 0.616
D E 0.402
L E 0.873
I E 0.950
E E 0.957
I E 0.866
F E 0.484
R C 0.400
P C 0.423
F T 0.352
Y E 0.608
R E 0.813
H E 0.854
W E 0.889
A E 0.941
I E 0.975
Y E 0.986
V E 0.955
G E 0.486
D T 0.911
G T 0.826
Y E 0.848
V E 0.980
V E 0.981
H E 0.977
L E 0.894
A E 0.575
P T 0.408
P T 0.619
S T 0.588
E T 0.423
V C 0.300
A E 0.358
G E 0.407
A E 0.453
G C 0.367
A E 0.346
A E 0.403
S E 0.399
V E 0.347
M E 0.320
S H 0.319
A H 0.325
L H 0.322
T H 0.324
D T 0.348
K T 0.318
A E 0.276
I E 0.376
V E 0.449
K E 0.461
K E 0.353
E H 0.336
L H 0.370
L H 0.604
Y H 0.669
D H 0.611
V H 0.592
A H 0.462
G T 0.369
S T 0.407
D T 0.394
K T 0.365
Y T 0.296
Q E 0.370
V E 0.433
N C 0.368
N C 0.401
K C 0.351
H C 0.352
D C 0.324
D C 0.337
K C 0.395
Y C 0.462
S C 0.605
P C 0.700
L C 0.684
P C 0.674
C H 0.426
S H 0.703
K H 0.911
I H 0.962
I H 0.968
Q H 0.975
R H 0.978
A H 0.984
E H 0.974
E H 0.948
L H 0.852
V H 0.743
G H 0.344
Q C 0.579
E C 0.471
V C 0.518
L C 0.470
Y C 0.387
K E 0.351
L E 0.505
T E 0.617
S E 0.503
E T 0.319
N C 0.353
C H 0.552
E H 0.884
H H 0.920
F H 0.944
V H 0.960
N H 0.956
E H 0.952
L H 0.945
R H 0.908
Y H 0.749
G C 0.589
V C 0.614
A C 0.552
R C 0.405
S T 0.331
D T 0.310
Q C 0.342
V C 0.534
R C 0.686
D C 0.979
END