PFRMAT SS
TARGET T0176
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 T0176.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 31
METHOD
MODEL 1
M C 0.991
D C 0.743
G C 0.488
V C 0.386
M H 0.298
S H 0.316
A H 0.309
V E 0.502
T E 0.613
V E 0.531
N T 0.288
D T 0.635
D T 0.751
G C 0.370
L E 0.832
V E 0.979
L E 0.985
R E 0.989
L E 0.982
Y E 0.972
I E 0.842
Q C 0.653
P T 0.729
K T 0.765
A C 0.549
S C 0.487
R T 0.277
D C 0.284
S C 0.283
I E 0.439
V E 0.416
G E 0.347
L C 0.393
H C 0.429
G T 0.340
D T 0.475
E E 0.571
V E 0.921
K E 0.978
V E 0.983
A E 0.965
I E 0.897
T E 0.679
A C 0.444
P C 0.807
P C 0.704
V C 0.306
D H 0.369
G H 0.600
Q H 0.789
A H 0.893
N H 0.962
S H 0.989
H H 0.993
L H 0.996
V H 0.998
K H 0.998
F H 0.997
L H 0.996
G H 0.993
K H 0.972
Q H 0.859
F T 0.473
R T 0.451
V C 0.714
A C 0.880
K G 0.440
S G 0.404
Q E 0.328
V E 0.813
V E 0.922
I E 0.923
E E 0.785
K E 0.375
G S 0.306
E C 0.333
L E 0.331
G C 0.334
R E 0.298
H E 0.394
K E 0.662
Q E 0.835
I E 0.908
K E 0.928
I E 0.726
I C 0.408
N S 0.626
P C 0.432
Q C 0.335
Q C 0.383
I C 0.670
P H 0.652
P H 0.885
E H 0.885
V H 0.918
A H 0.897
A H 0.815
L H 0.711
I H 0.487
N C 0.989
END