PFRMAT SS
TARGET T0482
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 T0482.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 13
METHOD
MODEL 1
M C 0.866
F C 0.778
E C 0.518
P T 0.421
G T 0.398
H E 0.747
L E 0.866
H E 0.905
L E 0.841
V E 0.688
S E 0.445
L T 0.385
P T 0.582
G T 0.786
L T 0.805
D T 0.744
Q T 0.679
Q T 0.445
D C 0.504
I E 0.630
N E 0.813
I E 0.961
H E 0.986
I E 0.980
R E 0.977
Y E 0.960
E E 0.951
V E 0.918
R E 0.789
Q E 0.414
N T 0.578
A T 0.751
E T 0.791
S T 0.688
G C 0.426
A E 0.551
Y E 0.951
V E 0.987
H E 0.993
F E 0.991
D E 0.984
M E 0.962
D E 0.943
G E 0.891
E E 0.821
I E 0.552
D T 0.832
G T 0.803
K E 0.437
P E 0.428
F T 0.460
S T 0.461
D T 0.475
S C 0.392
F E 0.402
E C 0.386
L C 0.611
P C 0.398
R H 0.580
D H 0.542
T H 0.609
A H 0.787
F H 0.897
N H 0.847
F H 0.912
A H 0.965
S H 0.970
D H 0.984
A H 0.998
T H 0.997
R H 0.997
V H 0.996
A H 0.994
Q H 0.991
K H 0.977
H H 0.864
G C 0.866
L C 0.804
H T 0.573
P T 0.655
K T 0.619
F T 0.618
G C 0.418
A C 0.445
I C 0.501
T C 0.603
R C 0.370
V H 0.503
H H 0.452
K H 0.503
E H 0.575
Y H 0.758
D H 0.881
A H 0.954
M H 0.968
F H 0.997
E H 0.994
D H 0.989
I H 0.991
R H 0.984
A H 0.951
K H 0.913
L H 0.696
H C 0.841
A C 0.807
H T 0.799
P T 0.905
G T 0.888
E T 0.628
P E 0.547
V E 0.534
D C 0.473
L G 0.619
E G 0.705
R G 0.736
I C 0.237
I E 0.348
R C 0.329
H C 0.702
E C 0.944
END