PFRMAT SS
TARGET T0151
AUTHOR 4069-6308-1312
METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net
METHOD This is a 4-layer network, with
METHOD window units
METHOD 5 15
METHOD 7 15
METHOD 9 15
METHOD 13 7 (1 EBGHSTL )
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 0.987
A C 0.672
G C 0.411
D C 0.465
T C 0.512
T E 0.591
I E 0.950
T E 0.981
I E 0.978
V E 0.903
G E 0.690
N E 0.591
L E 0.455
T E 0.297
A S 0.352
D C 0.621
P T 0.519
E T 0.438
L E 0.388
R E 0.620
F E 0.639
T C 0.741
P T 0.681
S T 0.728
G S 0.756
A C 0.715
A E 0.662
V E 0.949
A E 0.985
N E 0.988
F E 0.988
T E 0.985
V E 0.951
A E 0.790
S E 0.571
T C 0.401
P C 0.388
R C 0.322
I C 0.380
Y C 0.312
D C 0.569
R T 0.612
Q T 0.682
T S 0.380
G C 0.452
E C 0.358
W E 0.408
K C 0.359
D C 0.393
G C 0.389
E C 0.419
A E 0.578
L E 0.719
F E 0.899
L E 0.917
R E 0.907
C E 0.916
N E 0.930
I E 0.765
W E 0.467
R H 0.411
E H 0.674
A H 0.880
A H 0.969
E H 0.981
N H 0.985
V H 0.983
A H 0.972
E H 0.925
S H 0.836
L H 0.636
T H 0.432
R T 0.457
G T 0.436
A C 0.553
R E 0.664
V E 0.956
I E 0.988
V E 0.984
S E 0.959
G E 0.894
R E 0.902
L E 0.883
K E 0.890
Q E 0.852
R E 0.631
S E 0.699
F E 0.723
E E 0.720
T C 0.501
R T 0.654
E T 0.771
G S 0.601
E C 0.520
K E 0.864
R E 0.897
T E 0.941
V E 0.936
I E 0.966
E E 0.987
V E 0.984
E E 0.976
V E 0.878
D E 0.617
E E 0.456
I C 0.402
G C 0.444
P H 0.287
S H 0.406
L H 0.415
R H 0.479
Y H 0.408
A H 0.259
T C 0.640
A C 0.998
END