PFRMAT SS
TARGET T0586
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 T0586.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 1171
METHOD
MODEL 1
S C 0.819
N C 0.540
A C 0.470
M E 0.608
N E 0.702
P E 0.663
T T 0.540
F T 0.855
H T 0.938
A T 0.925
D C 0.532
K C 0.391
P C 0.637
I H 0.727
Y H 0.799
S H 0.893
Q H 0.939
I H 0.972
S H 0.991
D H 0.994
W H 0.992
M H 0.997
K H 0.997
K H 0.994
Q H 0.988
M H 0.982
I H 0.967
T H 0.746
G C 0.705
E C 0.606
W C 0.522
K T 0.871
G T 0.889
E T 0.921
D T 0.826
K C 0.629
L C 0.710
P H 0.455
S H 0.814
V H 0.986
R H 0.990
E H 0.983
M H 0.983
G H 0.970
V H 0.945
K H 0.903
L H 0.704
A C 0.839
V C 0.815
N C 0.831
P H 0.921
N H 0.959
T H 0.985
V H 0.999
S H 0.999
R H 1.000
A H 1.000
Y H 0.999
Q H 0.998
E H 0.996
L H 0.991
E H 0.967
R H 0.912
A H 0.620
G C 0.881
Y C 0.564
I E 0.884
Y E 0.923
A E 0.881
K E 0.601
R T 0.517
G T 0.575
M E 0.406
G E 0.692
S E 0.902
F E 0.910
V E 0.809
T E 0.430
S C 0.576
D C 0.454
K T 0.395
A H 0.515
L H 0.623
F H 0.641
D H 0.716
Q H 0.740
L H 0.764
K H 0.786
K H 0.867
E H 0.869
L H 0.890
A H 0.908
D H 0.913
A H 0.923
I H 0.929
T H 0.970
E H 0.981
R H 0.980
F H 0.984
L H 0.974
E H 0.971
E H 0.978
A H 0.964
K H 0.915
S H 0.874
I H 0.757
G C 0.938
L C 0.937
D C 0.966
D H 0.932
Q H 0.949
T H 0.966
A H 0.996
I H 0.999
E H 0.998
L H 0.999
L H 0.998
I H 0.994
K H 0.977
R H 0.942
S H 0.884
R H 0.654
N C 0.408
H C 0.779
E C 0.709
END