PFRMAT SS
TARGET T0639
AUTHOR SAM-T02-server
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 T0639.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 2
METHOD
MODEL 1
S C 0.994
N C 0.614
A C 0.348
M H 0.400
E H 0.471
T H 0.603
L H 0.881
N H 0.926
D H 0.946
I H 0.973
K H 0.982
K H 0.987
I H 0.985
L H 0.983
I H 0.970
N H 0.923
V H 0.669
G T 0.633
L C 0.427
Y C 0.283
Q T 0.343
G T 0.306
F C 0.506
D C 0.480
L C 0.346
T C 0.282
D C 0.410
P C 0.401
K C 0.290
V C 0.281
S C 0.312
E E 0.233
E H 0.260
V C 0.356
N C 0.487
H C 0.256
E C 0.345
T C 0.518
A C 0.384
N C 0.420
M H 0.473
K H 0.491
W H 0.423
I H 0.442
K H 0.403
D H 0.328
Y C 0.272
T C 0.528
S C 0.353
D T 0.321
G S 0.411
N C 0.565
W C 0.350
D H 0.489
N H 0.723
E H 0.781
F H 0.795
K H 0.859
E H 0.871
D H 0.881
L H 0.940
K H 0.945
N H 0.922
F H 0.951
L H 0.957
D H 0.912
Y H 0.905
M H 0.921
E H 0.914
V H 0.902
C H 0.901
Q H 0.819
L H 0.731
A H 0.675
L H 0.494
N C 0.387
D H 0.385
K H 0.491
N H 0.458
F H 0.746
K H 0.800
I H 0.747
A H 0.741
S H 0.756
N H 0.784
S H 0.849
L H 0.942
F H 0.960
M H 0.970
A H 0.972
M H 0.968
I H 0.945
Y H 0.886
A H 0.758
G H 0.461
N C 0.377
L H 0.865
S H 0.936
L H 0.933
I H 0.938
F H 0.943
D H 0.921
S H 0.872
I H 0.894
K H 0.911
T H 0.918
D H 0.911
I H 0.974
S H 0.968
T H 0.941
L H 0.879
L H 0.780
S H 0.640
A H 0.522
E H 0.475
Y H 0.413
K H 0.372
K H 0.272
N C 0.309
S C 0.457
F C 0.553
S C 0.654
W C 0.682
P C 0.577
S C 0.425
L C 0.470
D C 0.819
E C 0.996
END