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.remoter-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 13.563
METHOD
MODEL 1
M C 0.658
E C 0.768
R C 0.822
K E 0.609
I E 0.804
S E 0.825
R E 0.951
I E 0.990
H E 0.994
L E 0.989
V E 0.913
S E 0.636
E C 0.715
P C 0.849
S C 0.868
I H 0.682
T H 0.741
H H 0.852
F H 0.817
L H 0.830
Q H 0.871
V H 0.854
S H 0.802
W H 0.933
E H 0.936
K H 0.885
T H 0.729
L C 0.645
E C 0.750
S C 0.821
G C 0.730
F E 0.536
V E 0.962
I E 0.988
T E 0.983
L E 0.924
T C 0.581
D C 0.923
G C 0.859
H C 0.658
S C 0.634
A C 0.568
W C 0.586
T C 0.625
G C 0.847
T C 0.883
V H 0.640
S H 0.686
E H 0.729
S C 0.639
E C 0.613
I C 0.629
S C 0.768
Q H 0.618
E H 0.522
A H 0.896
D H 0.886
D H 0.912
M H 0.893
A H 0.849
M H 0.794
E H 0.760
K H 0.667
G C 0.471
K C 0.637
Y C 0.558
V H 0.385
G H 0.463
E H 0.509
L H 0.609
R H 0.550
K H 0.594
A H 0.522
L H 0.430
L C 0.383
S C 0.600
G C 0.945
A C 0.905
G C 0.943
P C 0.958
A C 0.937
D C 0.813
V E 0.738
Y E 0.941
T E 0.968
F E 0.943
N E 0.792
F E 0.510
S C 0.509
K C 0.404
E H 0.580
S H 0.785
C H 0.850
Y H 0.912
F H 0.923
F H 0.902
F H 0.816
E H 0.763
K H 0.553
N C 0.613
L C 0.526
K C 0.503
D C 0.474
V C 0.478
S E 0.470
F E 0.586
R E 0.600
L E 0.486
G C 0.661
S C 0.626
F C 0.510
N C 0.549
L C 0.591
E C 0.813
K C 0.955
END