PFRMAT SS
TARGET T0138
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 T0138.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 3
METHOD
MODEL 1
M C 0.843
L C 0.700
S C 0.547
Q H 0.307
I E 0.361
A E 0.449
I E 0.455
C E 0.469
I E 0.401
W E 0.370
V E 0.279
E C 0.438
S T 0.392
T H 0.745
A H 0.837
I H 0.904
L H 0.941
Q H 0.937
D H 0.950
C H 0.957
Q H 0.939
R H 0.906
A H 0.841
L H 0.725
S H 0.574
A H 0.462
D H 0.443
R H 0.623
Y H 0.690
Q H 0.798
L H 0.745
Q H 0.684
V H 0.705
C H 0.649
E H 0.656
S H 0.692
G H 0.820
E H 0.886
M H 0.913
L H 0.948
L H 0.953
E H 0.943
Y H 0.952
A H 0.934
Q H 0.897
T H 0.733
H H 0.393
R T 0.364
D T 0.408
Q T 0.338
I T 0.322
D E 0.523
C E 0.863
L E 0.944
I E 0.964
L E 0.957
V E 0.886
A E 0.565
A T 0.416
N T 0.586
P T 0.525
S H 0.359
F H 0.932
R H 0.980
A H 0.987
V H 0.991
V H 0.992
Q H 0.990
Q H 0.982
L H 0.962
C H 0.901
F H 0.767
E H 0.361
G C 0.527
V C 0.385
V E 0.735
V E 0.787
P E 0.906
A E 0.959
I E 0.961
V E 0.958
V E 0.862
G E 0.493
D C 0.428
R T 0.672
D T 0.709
S T 0.600
E T 0.489
D C 0.532
P C 0.516
D C 0.496
E C 0.541
P C 0.559
A C 0.487
K T 0.436
E C 0.432
Q C 0.455
L E 0.370
Y E 0.627
H E 0.701
S E 0.730
A E 0.811
E E 0.913
L E 0.933
H E 0.918
L E 0.701
G C 0.535
I H 0.427
H H 0.519
Q H 0.646
L H 0.701
E H 0.805
Q H 0.780
L H 0.670
P H 0.775
Y H 0.886
Q H 0.913
V H 0.974
D H 0.981
A H 0.991
A H 0.990
L H 0.987
A H 0.981
E H 0.946
F H 0.946
L H 0.874
R H 0.787
L H 0.741
A C 0.530
P C 0.457
V C 0.282
E C 0.323
T C 0.498
M C 0.745
A C 0.972
END