PFRMAT SS
TARGET T0151
AUTHOR 4069-6308-1312
METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    7 (1 EBGHSTL )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0151.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 132
METHOD
MODEL 1
M C 0.986
A C 0.677
G C 0.420
D C 0.434
T C 0.475
T E 0.599
I E 0.942
T E 0.976
I E 0.975
V E 0.897
G E 0.702
N E 0.600
L E 0.466
T E 0.303
A S 0.373
D C 0.628
P T 0.509
E T 0.430
L E 0.384
R E 0.612
F E 0.639
T C 0.741
P T 0.685
S T 0.741
G S 0.751
A C 0.729
A E 0.648
V E 0.951
A E 0.987
N E 0.989
F E 0.989
T E 0.986
V E 0.950
A E 0.777
S E 0.544
T C 0.408
P C 0.383
R C 0.321
I C 0.386
Y C 0.310
D C 0.563
R T 0.615
Q T 0.681
T S 0.386
G C 0.454
E C 0.356
W E 0.400
K C 0.379
D C 0.417
G C 0.393
E C 0.432
A E 0.530
L E 0.686
F E 0.895
L E 0.916
R E 0.905
C E 0.909
N E 0.922
I E 0.748
W E 0.459
R H 0.367
E H 0.632
A H 0.855
A H 0.965
E H 0.979
N H 0.982
V H 0.981
A H 0.967
E H 0.920
S H 0.835
L H 0.643
T H 0.430
R T 0.461
G T 0.417
A C 0.574
R E 0.669
V E 0.959
I E 0.989
V E 0.986
S E 0.963
G E 0.903
R E 0.905
L E 0.878
K E 0.886
Q E 0.852
R E 0.619
S E 0.693
F E 0.715
E E 0.716
T C 0.502
R T 0.645
E T 0.776
G S 0.603
E C 0.531
K E 0.849
R E 0.882
T E 0.941
V E 0.931
I E 0.965
E E 0.989
V E 0.986
E E 0.989
V E 0.960
D E 0.901
E E 0.704
I C 0.543
G C 0.617
P C 0.721
S C 0.844
END