PFRMAT SS
TARGET T0151
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 T0151.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 132
METHOD
MODEL 1
M C 0.457
A T 0.448
G T 0.421
D T 0.405
T E 0.349
T E 0.629
I E 0.947
T E 0.988
I E 0.992
V E 0.984
G E 0.948
N E 0.881
L E 0.743
T E 0.520
A T 0.363
D T 0.531
P T 0.574
E E 0.339
L E 0.708
R E 0.721
F E 0.821
T E 0.462
P T 0.896
S T 0.969
G T 0.937
A C 0.435
A E 0.861
V E 0.960
A E 0.986
N E 0.991
F E 0.991
T E 0.990
V E 0.977
A E 0.951
S E 0.840
T E 0.461
P T 0.477
R T 0.434
I T 0.398
Y C 0.329
D T 0.607
R T 0.710
Q T 0.739
T T 0.721
G C 0.438
E E 0.296
W E 0.388
K E 0.294
D C 0.384
G C 0.395
E C 0.399
A C 0.371
L E 0.514
F E 0.727
L E 0.852
R E 0.896
C E 0.890
N E 0.844
I E 0.667
W C 0.298
R T 0.339
E H 0.533
A H 0.786
A H 0.908
E H 0.927
N H 0.921
V H 0.904
A H 0.877
E H 0.849
S H 0.770
L H 0.537
T T 0.632
R T 0.723
G T 0.804
A T 0.563
R E 0.789
V E 0.947
I E 0.982
V E 0.982
S E 0.960
G E 0.899
R E 0.891
L E 0.827
K E 0.819
Q E 0.760
R E 0.587
S E 0.668
F E 0.801
E E 0.832
T T 0.574
R T 0.914
E T 0.957
G T 0.907
E C 0.468
K E 0.908
R E 0.935
T E 0.936
V E 0.927
I E 0.956
E E 0.990
V E 0.991
E E 0.983
V E 0.975
D E 0.886
E E 0.804
I E 0.540
G C 0.536
P C 0.763
S C 0.978
END