PFRMAT SS
TARGET T0151
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 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 0.929
A C 0.710
G T 0.401
D C 0.406
T S 0.434
T Q 0.328
I P 0.536
T P 0.328
I P 0.261
V Q 0.198
G Q 0.219
N Z 0.314
L C 0.408
T C 0.471
A S 0.482
D C 0.669
P C 0.221
E Z 0.295
L Z 0.349
R Z 0.454
F Z 0.499
T C 0.668
P T 0.794
S T 0.894
G S 0.612
A C 0.542
A Z 0.747
V Z 0.551
A A 0.455
N A 0.657
F A 0.742
T A 0.796
V A 0.758
A A 0.616
S Z 0.434
T Z 0.450
P S 0.299
R C 0.279
I C 0.313
Y C 0.397
D C 0.350
R T 0.480
Q T 0.474
T S 0.312
G C 0.382
E Z 0.436
W Z 0.485
K Z 0.390
D C 0.298
G C 0.297
E C 0.409
A Z 0.487
L Z 0.520
F Z 0.501
L A 0.537
R A 0.557
C A 0.537
N A 0.585
I A 0.405
W C 0.379
R S 0.434
E H 0.452
A H 0.841
A H 0.932
E H 0.980
N H 0.958
V H 0.971
A H 0.979
E H 0.960
S H 0.898
L H 0.623
T C 0.480
R T 0.805
G T 0.624
A C 0.665
R Z 0.386
V A 0.519
I A 0.616
V A 0.500
S A 0.473
G A 0.593
R A 0.621
L A 0.493
K A 0.528
Q Z 0.699
R Z 0.507
S Z 0.725
F Z 0.660
E Z 0.467
T C 0.426
R T 0.681
E T 0.805
G S 0.406
E Z 0.497
K Z 0.872
R Z 0.715
T Z 0.836
V Z 0.774
I Z 0.644
E A 0.470
V A 0.469
E A 0.497
V Z 0.461
D Z 0.379
E Z 0.406
I C 0.383
G C 0.570
P H 0.344
S H 0.282
L Z 0.254
R H 0.351
Y H 0.314
A T 0.270
T C 0.543
A C 0.938
END