PFRMAT SS
TARGET T0176
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 T0176.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 31
METHOD
MODEL 1
M C 0.822
D C 0.649
G C 0.599
V H 0.517
M H 0.407
S H 0.389
A H 0.449
V H 0.440
T E 0.409
V E 0.528
N E 0.375
D T 0.813
D T 0.864
G T 0.497
L E 0.925
V E 0.982
L E 0.995
R E 0.994
L E 0.989
Y E 0.970
I E 0.844
Q E 0.351
P T 0.704
K T 0.780
A T 0.762
S C 0.478
R T 0.366
D T 0.343
S E 0.306
I E 0.413
V E 0.482
G E 0.413
L T 0.366
H T 0.425
G T 0.661
D T 0.528
E E 0.705
V E 0.917
K E 0.969
V E 0.987
A E 0.979
I E 0.931
T E 0.691
A C 0.630
P C 0.843
P C 0.688
V C 0.662
D H 0.366
G H 0.653
Q H 0.971
A H 0.983
N H 0.993
S H 0.999
H H 0.999
L H 0.999
V H 1.000
K H 1.000
F H 1.000
L H 0.999
G H 0.995
K H 0.986
Q H 0.960
F H 0.802
R C 0.964
V C 0.913
A C 0.557
K T 0.693
S T 0.678
Q E 0.555
V E 0.875
V E 0.950
I E 0.919
E E 0.831
K E 0.356
G C 0.438
E T 0.406
L T 0.413
G T 0.612
R T 0.586
H T 0.556
K C 0.335
Q E 0.658
I E 0.796
K E 0.778
I E 0.543
I T 0.473
N T 0.699
P T 0.729
Q T 0.452
Q T 0.391
I C 0.536
P H 0.815
P H 0.873
E H 0.914
V H 0.920
A H 0.919
A H 0.823
L H 0.702
I C 0.479
N C 0.974
END