PFRMAT SS
TARGET T0467
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 T0467.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 86
METHOD
MODEL 1
M C 0.574
D C 0.436
L T 0.369
N T 0.362
R E 0.345
M T 0.333
G T 0.402
K T 0.436
D E 0.419
E E 0.618
Y E 0.740
Y E 0.832
V E 0.930
Q E 0.949
I E 0.925
T E 0.842
V E 0.549
D E 0.487
G E 0.686
K E 0.832
E E 0.935
V E 0.933
H E 0.877
S E 0.611
K C 0.343
A T 0.503
D T 0.648
N T 0.660
G T 0.497
Q E 0.407
K E 0.537
Y E 0.801
K E 0.893
D E 0.912
Y E 0.941
E E 0.958
Y E 0.968
K E 0.956
L E 0.897
T E 0.817
G E 0.775
F E 0.826
D T 0.501
K T 0.946
D T 0.986
G T 0.972
K C 0.450
E E 0.879
K E 0.942
E E 0.962
L E 0.962
E E 0.974
F E 0.958
T E 0.760
A C 0.378
Q T 0.526
K T 0.637
N T 0.400
L T 0.407
R T 0.651
K T 0.640
E T 0.687
A E 0.583
F E 0.865
L E 0.952
R E 0.977
V E 0.976
Y E 0.971
H E 0.949
S E 0.573
D T 0.714
K T 0.567
K E 0.429
G E 0.546
V E 0.850
S E 0.856
A E 0.801
W G 0.455
E G 0.494
E G 0.556
V C 0.580
K T 0.360
K G 0.515
D G 0.445
E T 0.437
L C 0.656
P C 0.629
A H 0.936
K H 0.951
V H 0.961
K H 0.951
E H 0.885
K H 0.825
L H 0.570
G C 0.635
V C 0.742
K C 0.810
END