PFRMAT SS
TARGET T0402
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 T0402.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 220
METHOD
MODEL 1
M C 0.746
E C 0.649
N H 0.831
E H 0.905
L H 0.922
E H 0.985
D H 0.991
K H 0.995
I H 0.998
L H 0.998
A H 0.996
I H 0.992
L H 0.985
E H 0.950
Q H 0.617
H C 0.540
Q C 0.732
V E 0.614
G E 0.908
V E 0.972
L E 0.980
T E 0.975
S E 0.960
V E 0.892
Q T 0.583
G T 0.945
D T 0.909
F E 0.538
P E 0.825
H E 0.927
A E 0.960
R E 0.938
Y E 0.942
M E 0.933
T E 0.924
F E 0.891
L E 0.816
H T 0.497
D T 0.838
G T 0.893
L T 0.634
T E 0.826
L E 0.977
Y E 0.981
T E 0.975
P E 0.846
S C 0.458
G T 0.730
K T 0.855
E T 0.877
L T 0.734
P H 0.450
K H 0.667
T H 0.749
E H 0.767
E H 0.772
V H 0.766
R H 0.676
R H 0.506
N T 0.792
P T 0.805
H T 0.528
V E 0.811
C E 0.924
V E 0.980
L E 0.970
I E 0.939
G E 0.756
Y E 0.462
D T 0.715
S T 0.841
P T 0.742
G T 0.653
S T 0.426
A E 0.772
F E 0.961
L E 0.982
E E 0.990
I E 0.980
N E 0.946
G E 0.889
L E 0.941
A E 0.968
S E 0.965
L E 0.935
E E 0.581
E C 0.799
D C 0.870
E H 0.905
S H 0.953
I H 0.959
K H 0.973
E H 0.976
R H 0.965
I H 0.963
W H 0.959
E H 0.906
N H 0.912
I H 0.919
S H 0.864
K H 0.857
D H 0.737
W H 0.646
F T 0.349
Q T 0.444
G T 0.653
E T 0.756
D T 0.649
S T 0.894
P T 0.887
S T 0.772
F E 0.711
V E 0.934
V E 0.973
I E 0.972
K E 0.958
I E 0.803
V E 0.544
P T 0.624
E T 0.597
Q E 0.852
I E 0.941
R E 0.970
I E 0.958
L E 0.868
N E 0.587
S T 0.847
D T 0.925
D T 0.913
D T 0.634
G E 0.455
P E 0.813
D E 0.854
T E 0.803
L E 0.591
D E 0.495
L H 0.406
I C 0.531
G C 0.965
END