# TARGET T0099
# Using neural net overrep-2500-IDaa13-5-10-7-10-5-10-11-ehl2-seeded9-stride-trained.net
# This is a 4-layer network, with 
#	window	units
#	    5	   10
#	    7	   10
#	    5	   10
#	   11	    3 (1 EHL2 )
# The input amino acid frequencies were determined from
# alignment T0099.t2k.a2m.gz
# with weighted counts, using EntropyWeight(1.4 bits/column, 10)
# The weighting was determined by the posterior distribution
# after regularizing with /projects/compbio/lib/recode3.20comp.
# Counts were regularized to probabilities using
# /projects/compbio/lib/recode3.20comp
# Total sequence weight for alignment was 76.5082
#
# CHAIN 1
Pos	AA	E	H	C
10N	1S	5N	5N	5N
1	E	0.75	0.01	0.24
2	F	0.92	0.00	0.07
3	I	0.97	0.00	0.03
4	A	0.98	0.00	0.01
5	I	0.96	0.00	0.03
6	Y	0.85	0.01	0.14
7	D	0.53	0.01	0.45
8	Y	0.39	0.01	0.59
9	K	0.32	0.02	0.67
10	A	0.18	0.03	0.79
11	E	0.13	0.02	0.86
12	T	0.09	0.02	0.89
13	E	0.05	0.16	0.80
14	E	0.08	0.19	0.74
15	D	0.22	0.19	0.59
16	L	0.41	0.07	0.52
17	T	0.55	0.04	0.41
18	I	0.47	0.02	0.50
19	K	0.18	0.02	0.80
20	K	0.04	0.04	0.92
21	G	0.02	0.00	0.97
22	E	0.38	0.00	0.61
23	K	0.84	0.00	0.16
24	L	0.97	0.00	0.03
25	E	0.99	0.00	0.01
26	I	0.99	0.00	0.01
27	I	0.96	0.00	0.04
28	E	0.83	0.00	0.17
29	K	0.19	0.01	0.80
30	E	0.03	0.01	0.96
31	G	0.02	0.01	0.97
32	D	0.03	0.00	0.97
33	W	0.61	0.01	0.38
34	W	0.91	0.00	0.09
35	K	0.94	0.00	0.05
36	A	0.95	0.00	0.04
37	K	0.93	0.00	0.07
38	A	0.86	0.00	0.13
39	I	0.41	0.02	0.58
40	G	0.05	0.02	0.93
41	S	0.01	0.01	0.98
42	G	0.01	0.00	0.98
43	E	0.38	0.00	0.62
44	I	0.66	0.00	0.33
45	G	0.58	0.01	0.41
46	Y	0.67	0.01	0.32
47	I	0.53	0.03	0.45
48	P	0.31	0.06	0.63
49	A	0.15	0.45	0.40
50	N	0.19	0.48	0.33
51	Y	0.33	0.45	0.22
52	I	0.43	0.44	0.12
53	A	0.53	0.32	0.16
54	A	0.52	0.24	0.23
55	A	0.26	0.10	0.65
56	E	0.06	0.03	0.92