PFRMAT SS
TARGET T0471
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 T0471.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 24
METHOD
MODEL 1
M C 0.780
W C 0.538
N C 0.468
D H 0.653
L H 0.733
A H 0.683
V H 0.665
Y H 0.641
I H 0.628
I H 0.642
R H 0.563
C H 0.425
S E 0.286
G T 0.674
P T 0.809
G T 0.817
T T 0.518
R E 0.879
V E 0.982
V E 0.986
E E 0.988
V E 0.894
G E 0.641
A C 0.423
G C 0.478
R C 0.441
F C 0.572
L H 0.897
Y H 0.982
V H 0.998
S H 0.998
D H 0.997
Y H 0.997
I H 0.995
R H 0.991
K H 0.974
H H 0.852
S C 0.865
K C 0.795
V E 0.529
D E 0.917
L E 0.965
V E 0.967
L E 0.927
T E 0.769
D E 0.497
I T 0.358
K T 0.602
P T 0.715
S T 0.731
H T 0.597
G C 0.502
G C 0.461
I E 0.721
V E 0.737
R E 0.679
D E 0.407
D T 0.407
I T 0.417
T T 0.412
S T 0.775
P T 0.768
R T 0.783
M T 0.696
E T 0.399
I H 0.363
Y H 0.466
R H 0.543
G H 0.355
A H 0.285
A E 0.497
L E 0.701
I E 0.735
Y E 0.714
S E 0.394
I C 0.620
R C 0.671
P C 0.692
P T 0.426
A G 0.406
E G 0.407
I H 0.460
H H 0.586
S H 0.652
S H 0.860
L H 0.937
M H 0.957
R H 0.972
V H 0.986
A H 0.982
D H 0.967
A H 0.925
V H 0.684
G C 0.936
A C 0.844
R C 0.610
L E 0.962
I E 0.987
I E 0.983
K E 0.901
P E 0.518
L T 0.551
T T 0.599
G T 0.529
E T 0.412
D C 0.375
I C 0.412
V T 0.494
T T 0.507
E T 0.473
R T 0.356
K E 0.381
M E 0.505
K E 0.534
L E 0.538
V C 0.369
N C 0.588
Y C 0.424
G E 0.544
R E 0.815
T E 0.903
Y E 0.953
F E 0.935
Y E 0.915
E E 0.813
Y E 0.764
I E 0.589
A E 0.393
E E 0.424
V C 0.448
R C 0.595
S C 0.802
R C 0.986
END