# List of top-scoring protein chains for t06-w0.5-1-n_notor-0.1-scores hidden Markov model.
# HMM and HMM E-value scores computed by  SAM (c) 1992-2001 Regents of the University of California, Santa Cruz
# Sequence Alignment and Modeling Software System
#     http://www.cse.ucsc.edu/research/compbio/sam.html
# ----------------- Citations (SAM, SAM-T99, HMMs) --------------------
# R. Hughey, A. Krogh, Hidden Markov models for sequence analysis:
#  Extension and analysis of the basic method, CABIOS 12:95-107, 1996.
# K. Karplus, C. Barrett, R. Hughey, Hidden Markov models for detecting
#  remote protein homologies, Bioinformatics 14(10):846-856, 1998.
# A. Krogh et al., Hidden Markov models in computational biology:
#  Applications to protein modeling, JMB 235:1501-1531, Feb 1994.
#
#SCOP domains found in each protein chain taken from SCOP:
# ------------------Citations (SCOP) -----------------------------------
#Murzin A. G., Brenner S. E., Hubbard T., Chothia C. (1995).
#SCOP: a structural classification of proteins database for the investigation of sequences and structures.
#J. Mol. Biol. 247, 536-540.
Sequence_ID	Length	Target_Evalue	SCOP_domain	SCOP_suid
5S	5N	12S	12S	10N
2on8A	56	1.18e-12		
2igd	61	1.24e-12		
2igdA	61	1.43e-12	d.15.7.1	37821
2gi9A	56	1.58e-12		
2qmtA	56	1.59e-12		
2b7eA	59	1.337		
1vf8A	377	5.348	c.1.8.5,d.26.3.1	120029,120030
2qklA	127	13.64		
3cz6A	168	15.03		
1iktA	120	19.62	d.106.1.1	66188
2dk5A	91	33.64		
1fioA	196	35.51	a.47.2.1	17773
1uwcA	261	36.07	c.69.1.17	100101
1ic6A	279	38.57	c.41.1.1	62257
2ifxA	114	41.05		
1x2gA	337	42.47		
2h6fB	437	46.96	a.102.4.3	136186
1vkwA	218	49.31	d.90.1.2	108695
2nq5A	755	50.32		
1ql3A	99	54.04	a.3.1.1	15822
3cjsA	60	56.52		
1krnA	88	57.34	g.14.1.1	44629
2v9cA	215	58.43		
2q00A	129	68.06		
2f6eA	127	73.75		
2v05A	311	78.77		
5hpgA	84	80.98	g.14.1.1	44642
2hy5A	130	86.74	c.114.1.1	136865
1ptf	88	86.78		
1p49A	562	87.04	c.76.1.2	94089
2qsbA	89	87.47