PFRMAT SS
TARGET T0120-1-115
AUTHOR 3670-4530-6947
METHOD Using neural net overrep-2500-IDaa13-5-10-7-10-5-10-11-ehl2-seeded9-stride-trained.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   10
METHOD	    7	   10
METHOD	    5	   10
METHOD	   11	    3 (1 EHL2 )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0120-1-115.t2k.a2m.gz
METHOD with weighted counts, using EntropyWeight(1.4 bits/column, 10)
METHOD The weighting was determined by the posterior distribution
METHOD after regularizing with /projects/compbio/lib/recode3.20comp.
METHOD Counts were regularized to probabilities using
METHOD /projects/compbio/lib/recode3.20comp
METHOD Total sequence weight for alignment was 1.96701
METHOD
MODEL 1
M C 0.747
E C 0.582
R C 0.480
K E 0.429
I E 0.426
S E 0.474
R E 0.623
I E 0.680
H E 0.735
L E 0.642
V C 0.475
S C 0.694
E C 0.830
P C 0.826
S C 0.775
I C 0.566
T C 0.508
H E 0.419
F E 0.542
L E 0.615
Q E 0.580
V E 0.586
S E 0.473
W H 0.834
E H 0.884
K H 0.905
T H 0.868
L H 0.857
E H 0.760
S H 0.629
G C 0.859
F C 0.489
V E 0.873
I E 0.947
T E 0.943
L E 0.839
T C 0.597
D C 0.892
G C 0.904
H C 0.755
S C 0.582
A E 0.483
W E 0.509
T C 0.486
G C 0.592
T E 0.618
V E 0.672
S C 0.679
E H 0.575
S H 0.535
E H 0.571
I C 0.473
S C 0.528
Q H 0.591
E H 0.527
A H 0.656
D H 0.679
D H 0.851
M H 0.887
A H 0.888
M H 0.884
E H 0.872
K H 0.827
G C 0.779
K C 0.813
Y C 0.544
V H 0.729
G H 0.875
E H 0.919
L H 0.948
R H 0.953
K H 0.957
A H 0.935
L H 0.908
L H 0.811
S H 0.570
G C 0.883
A C 0.906
G C 0.947
P C 0.760
A C 0.760
D C 0.569
V E 0.681
Y E 0.828
T E 0.886
F E 0.848
N E 0.680
F C 0.489
S C 0.654
K H 0.485
E H 0.472
S H 0.491
C H 0.402
Y E 0.439
F E 0.467
F E 0.458
F E 0.441
E H 0.461
K C 0.572
N C 0.624
L H 0.481
K H 0.520
D H 0.513
V C 0.451
S E 0.402
F E 0.545
R E 0.588
L E 0.510
G C 0.665
S C 0.639
F C 0.525
N C 0.563
L C 0.597
E C 0.817
K C 0.951
END