PFRMAT SS
TARGET T0176
METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-str-seeded.net
METHOD This is a 4-layer network, with
METHOD window units
METHOD 5 15
METHOD 7 15
METHOD 9 15
METHOD 13 13 (1 str )
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 0.731
D C 0.617
G C 0.404
V H 0.328
M H 0.396
S H 0.428
A H 0.317
V H 0.296
T Z 0.562
V Z 0.657
N Z 0.489
D T 0.600
D T 0.728
G Z 0.317
L A 0.632
V A 0.717
L A 0.824
R A 0.896
L A 0.881
Y A 0.846
I A 0.645
Q Z 0.653
P T 0.381
K T 0.529
A C 0.236
S C 0.439
R C 0.244
D T 0.399
S T 0.249
I C 0.369
V C 0.301
G C 0.245
L C 0.341
H C 0.367
G T 0.424
D S 0.321
E Z 0.369
V A 0.545
K A 0.624
V A 0.640
A A 0.551
I Z 0.519
T C 0.470
A C 0.515
P C 0.812
P C 0.882
V C 0.532
D C 0.273
G C 0.392
Q H 0.760
A H 0.841
N H 0.896
S H 0.981
H H 0.986
L H 0.994
V H 0.996
K H 0.998
F H 0.997
L H 0.998
G H 0.997
K H 0.987
Q H 0.930
F H 0.511
R T 0.660
V C 0.620
A C 0.872
K G 0.644
S G 0.644
Q G 0.637
V C 0.293
V Z 0.463
I Z 0.545
E Z 0.325
K Z 0.274
G C 0.322
E C 0.292
L T 0.329
G C 0.368
R C 0.386
H C 0.284
K Z 0.434
Q Z 0.352
I A 0.358
K A 0.365
I Z 0.350
I C 0.540
N C 0.446
P C 0.361
Q C 0.408
Q C 0.393
I C 0.643
P H 0.740
P H 0.919
E H 0.908
V H 0.921
A H 0.888
A H 0.850
L H 0.743
I H 0.395
N C 0.989
END