PFRMAT SS
TARGET T0475
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 T0475.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 76
METHOD
MODEL 1
L T 0.417
N C 0.474
S C 0.380
E C 0.621
I H 0.930
E H 0.965
L H 0.981
P H 0.990
V H 0.991
Q H 0.992
K H 0.991
Q H 0.984
L H 0.995
E H 0.991
A H 0.990
Y H 0.979
N H 0.974
A H 0.876
R H 0.430
D C 0.552
I H 0.984
D H 0.991
A H 0.991
F H 0.993
M H 0.990
A H 0.979
W H 0.923
W H 0.772
A H 0.600
D T 0.336
D T 0.368
C E 0.674
Q E 0.772
Y E 0.806
Y E 0.733
A E 0.555
F T 0.473
P T 0.703
A T 0.758
T T 0.620
L E 0.395
L E 0.801
A E 0.862
G E 0.660
N H 0.377
A H 0.961
A H 0.958
E H 0.956
I H 0.949
R H 0.970
V H 0.964
R H 0.958
H H 0.902
I H 0.879
E H 0.782
R H 0.687
F H 0.484
K T 0.336
E T 0.432
P C 0.489
D T 0.513
L T 0.471
Y C 0.305
G E 0.767
E E 0.889
L E 0.876
L E 0.843
T E 0.828
R E 0.821
V E 0.847
I E 0.800
V E 0.539
G T 0.666
N T 0.504
V E 0.806
V E 0.890
I E 0.868
D E 0.814
H E 0.777
E E 0.801
T E 0.848
V E 0.877
T E 0.814
R E 0.753
N E 0.432
F T 0.680
P T 0.824
E T 0.802
G T 0.507
K E 0.450
G E 0.732
E E 0.791
V E 0.894
D E 0.943
V E 0.973
A E 0.986
C E 0.990
I E 0.993
Y E 0.990
E E 0.984
V E 0.905
E T 0.475
N T 0.888
G T 0.805
R E 0.761
I E 0.953
A E 0.978
K E 0.980
A E 0.936
W E 0.899
F E 0.900
K E 0.847
I E 0.539
G T 0.648
E T 0.591
P C 0.389
R C 0.545
I E 0.476
V E 0.455
S C 0.565
Q C 0.706
K C 0.925
END