PFRMAT SS
TARGET T0630
AUTHOR SAM-T02-server
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 T0630.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 224
METHOD
MODEL 1
M C 0.998
R C 0.799
A C 0.350
P C 0.365
I C 0.535
P C 0.456
E C 0.494
P C 0.805
K C 0.886
P T 0.696
G T 0.796
D C 0.725
L E 0.856
I E 0.964
E E 0.970
I E 0.908
F E 0.674
R C 0.305
P C 0.320
F T 0.286
Y E 0.365
R E 0.488
H E 0.861
W E 0.929
A E 0.985
I E 0.987
Y E 0.972
V E 0.830
G E 0.460
D T 0.704
G T 0.546
Y E 0.707
V E 0.938
V E 0.961
H E 0.930
L E 0.812
A E 0.611
P C 0.390
P T 0.335
S T 0.257
E C 0.280
V C 0.316
A E 0.358
G E 0.388
A E 0.419
G E 0.425
A E 0.412
A E 0.459
S E 0.480
V E 0.481
M E 0.414
S E 0.313
A H 0.393
L H 0.366
T H 0.362
D H 0.299
K H 0.275
A C 0.276
I E 0.424
V E 0.580
K E 0.629
K E 0.542
E E 0.395
L E 0.414
L E 0.507
Y E 0.566
D E 0.477
V E 0.373
A E 0.274
G T 0.444
S T 0.400
D C 0.355
K E 0.355
Y E 0.515
Q E 0.562
V E 0.530
N E 0.369
N C 0.337
K E 0.296
H E 0.323
D C 0.381
D C 0.330
K C 0.355
Y C 0.431
S C 0.584
P C 0.654
L C 0.680
P C 0.762
C H 0.616
S H 0.847
K H 0.930
I H 0.968
I H 0.981
Q H 0.988
R H 0.990
A H 0.989
E H 0.980
E H 0.942
L H 0.865
V H 0.653
G T 0.522
Q T 0.344
E C 0.602
V C 0.546
L C 0.465
Y H 0.375
K H 0.528
L H 0.650
T H 0.732
S H 0.804
E H 0.820
N H 0.774
C H 0.896
E H 0.927
H H 0.913
F H 0.972
V H 0.983
N H 0.985
E H 0.978
L H 0.965
R H 0.928
Y H 0.614
G T 0.532
V C 0.591
A C 0.528
R C 0.393
S C 0.474
D T 0.229
Q C 0.289
V C 0.467
R C 0.785
D C 0.995
END