PFRMAT SS
TARGET T0135
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 T0135.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 14
METHOD
MODEL 1
M C 0.912
A C 0.731
T C 0.506
R T 0.406
T T 0.437
P T 0.425
K T 0.359
L E 0.355
V E 0.637
K E 0.878
H E 0.939
T E 0.959
L E 0.988
L E 0.983
T E 0.955
R E 0.900
F E 0.643
K T 0.739
D T 0.889
E T 0.881
I T 0.768
T C 0.743
R H 0.906
E H 0.945
Q H 0.972
I H 0.987
D H 0.989
N H 0.983
Y H 0.986
I H 0.983
N H 0.963
D H 0.927
Y H 0.916
T H 0.881
N H 0.860
L H 0.837
L H 0.791
D H 0.692
L H 0.555
I T 0.462
P T 0.479
S T 0.358
M E 0.667
K E 0.840
S E 0.879
F E 0.767
N E 0.586
W C 0.487
G C 0.500
T C 0.452
D C 0.428
L T 0.406
G C 0.517
M T 0.379
E T 0.330
S C 0.436
A H 0.486
E H 0.479
L G 0.511
N G 0.372
R T 0.504
G T 0.562
Y T 0.514
T E 0.434
H E 0.947
A E 0.988
F E 0.991
E E 0.982
S E 0.891
T E 0.662
F C 0.431
E C 0.633
S C 0.863
K H 0.837
S H 0.892
G H 0.936
L H 0.992
Q H 0.992
E H 0.988
Y H 0.972
L H 0.974
D H 0.907
S C 0.576
A H 0.798
A H 0.723
L H 0.801
A H 0.878
A H 0.910
F H 0.941
A H 0.881
E H 0.731
G H 0.656
F H 0.592
L H 0.447
P H 0.321
T T 0.293
L T 0.344
S T 0.472
Q T 0.453
R E 0.426
L E 0.823
V E 0.911
I E 0.859
D E 0.774
Y E 0.479
F C 0.378
L C 0.575
Y C 0.967
END