PFRMAT SS
TARGET T0138
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 T0138.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 3
METHOD
MODEL 1
M C 0.993
L C 0.861
S C 0.603
Q C 0.439
I E 0.407
A E 0.692
I E 0.788
C E 0.855
I E 0.846
W E 0.785
V E 0.590
E C 0.420
S C 0.438
T H 0.778
A H 0.851
I H 0.920
L H 0.960
Q H 0.946
D H 0.943
C H 0.936
Q H 0.918
R H 0.890
A H 0.839
L H 0.717
S H 0.539
A H 0.432
D C 0.377
R H 0.683
Y H 0.619
Q H 0.612
L H 0.573
Q H 0.506
V H 0.513
C H 0.589
E H 0.528
S H 0.508
G H 0.835
E H 0.918
M H 0.924
L H 0.956
L H 0.963
E H 0.945
Y H 0.917
A H 0.878
Q H 0.785
T H 0.723
H H 0.383
R T 0.447
D T 0.535
Q T 0.374
I C 0.561
D E 0.556
C E 0.964
L E 0.972
I E 0.974
L E 0.934
V E 0.716
A E 0.427
A C 0.403
N S 0.309
P S 0.369
S C 0.469
F H 0.726
R H 0.953
A H 0.965
V H 0.981
V H 0.983
Q H 0.974
Q H 0.959
L H 0.944
C H 0.874
F H 0.690
E T 0.523
G T 0.348
V C 0.471
V E 0.662
V E 0.796
P E 0.808
A E 0.934
I E 0.957
V E 0.931
V E 0.824
G E 0.557
D C 0.598
R C 0.515
D S 0.302
S C 0.345
E C 0.505
D C 0.558
P C 0.536
D C 0.466
E C 0.528
P C 0.666
A C 0.619
K C 0.426
E C 0.414
Q C 0.423
L E 0.488
Y E 0.705
H E 0.775
S E 0.795
A E 0.874
E E 0.926
L E 0.919
H E 0.915
L E 0.660
G C 0.612
I H 0.458
H H 0.498
Q H 0.509
L H 0.695
E H 0.700
Q H 0.699
L H 0.659
P H 0.804
Y H 0.897
Q H 0.937
V H 0.978
D H 0.989
A H 0.991
A H 0.991
L H 0.987
A H 0.981
E H 0.968
F H 0.957
L H 0.912
R H 0.726
L H 0.620
A C 0.498
P C 0.345
V H 0.276
E C 0.230
T C 0.328
M C 0.717
A C 0.999
END