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 133
METHOD
MODEL 1
M C 0.568
A T 0.433
G T 0.400
D T 0.365
T E 0.396
T E 0.649
I E 0.939
T E 0.987
I E 0.992
V E 0.984
G E 0.948
N E 0.881
L E 0.724
T E 0.501
A T 0.361
D T 0.516
P T 0.570
E E 0.359
L E 0.716
R E 0.720
F E 0.812
T E 0.467
P T 0.872
S T 0.962
G T 0.927
A C 0.401
A E 0.849
V E 0.953
A E 0.983
N E 0.990
F E 0.991
T E 0.990
V E 0.976
A E 0.951
S E 0.827
T E 0.435
P T 0.478
R T 0.432
I T 0.400
Y C 0.318
D T 0.608
R T 0.689
Q T 0.706
T T 0.695
G C 0.389
E T 0.277
W E 0.299
K T 0.277
D C 0.336
G C 0.356
E C 0.393
A C 0.356
L E 0.483
F E 0.689
L E 0.832
R E 0.879
C E 0.878
N E 0.843
I E 0.668
W C 0.289
R H 0.338
E H 0.538
A H 0.779
A H 0.902
E H 0.921
N H 0.913
V H 0.891
A H 0.879
E H 0.850
S H 0.775
L H 0.573
T T 0.578
R T 0.678
G T 0.779
A T 0.589
R E 0.750
V E 0.938
I E 0.980
V E 0.980
S E 0.952
G E 0.877
R E 0.867
L E 0.802
K E 0.801
Q E 0.748
R E 0.573
S E 0.664
F E 0.799
E E 0.830
T T 0.564
R T 0.909
E T 0.953
G T 0.904
E C 0.479
K E 0.903
R E 0.935
T E 0.933
V E 0.923
I E 0.954
E E 0.986
V E 0.987
E E 0.984
V E 0.954
D E 0.778
E E 0.526
I T 0.315
G T 0.457
P T 0.320
S G 0.321
L G 0.372
R H 0.409
Y H 0.375
A C 0.307
T C 0.587
A C 0.892
END