PFRMAT SS
TARGET T0402
AUTHOR SAM-T02-server
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 T0402.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 220
METHOD
MODEL 1
M C 0.998
E C 0.788
N H 0.511
E H 0.657
L H 0.809
E H 0.933
D H 0.975
K H 0.988
I H 0.991
L H 0.993
A H 0.989
I H 0.980
L H 0.936
E T 0.510
Q T 0.745
H C 0.623
Q S 0.501
V E 0.851
G E 0.981
V E 0.991
L E 0.991
T E 0.949
S E 0.861
V E 0.548
Q T 0.362
G T 0.831
D T 0.467
F C 0.566
P E 0.675
H E 0.759
A E 0.863
R E 0.864
Y E 0.856
M E 0.904
T E 0.919
F E 0.887
L E 0.767
H C 0.450
D T 0.783
G T 0.911
L S 0.321
T E 0.863
L E 0.980
Y E 0.988
T E 0.980
P E 0.899
S E 0.499
G C 0.532
K T 0.546
E T 0.519
L S 0.368
P H 0.551
K H 0.747
T H 0.859
E H 0.893
E H 0.904
V H 0.888
R H 0.795
R H 0.489
N C 0.751
P T 0.664
H T 0.647
V E 0.633
C E 0.973
V E 0.990
L E 0.976
I E 0.932
G E 0.773
Y C 0.356
D S 0.363
S S 0.462
P S 0.342
G T 0.353
S C 0.420
A E 0.473
F E 0.906
L E 0.974
E E 0.991
I E 0.979
N E 0.945
G E 0.885
L E 0.913
A E 0.939
S E 0.970
L E 0.945
E E 0.827
E C 0.411
D C 0.794
E H 0.739
S H 0.855
I H 0.900
K H 0.949
E H 0.943
R H 0.914
I H 0.888
W H 0.856
E H 0.869
N H 0.878
I H 0.855
S H 0.787
K H 0.660
D H 0.632
W H 0.438
F C 0.329
Q C 0.338
G C 0.578
E T 0.414
D T 0.434
S C 0.578
P T 0.814
S T 0.877
F E 0.475
V E 0.897
V E 0.978
I E 0.986
K E 0.982
I E 0.943
V E 0.546
P T 0.526
E T 0.484
Q E 0.551
I E 0.852
R E 0.958
I E 0.964
L E 0.922
N E 0.635
S C 0.379
D T 0.611
D S 0.467
D C 0.461
G C 0.421
P E 0.348
D E 0.575
T E 0.504
L E 0.391
D E 0.406
L E 0.373
I E 0.287
G C 0.849
END