# List of top-scoring protein chains for t06-w0.5-1-CB8-sep9-0.3-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
2g2uB	165	5.72e-11	d.98.1.1	134541
1jtgB	165	5.93e-11	d.98.1.1	67267
2h27A	73	16.19	a.4.13.2	135993
2o8xA	70	16.42		
1qlwA	328	16.90	c.69.1.15	34722
2h36X	112	24.37		
2grjA	192	27.08		
1kqqA	139	27.21	a.4.3.1	72885
1dliA	402	29.18	a.100.1.4,c.2.1.6,c.26.3.1	18809,30213,31622
2fbhA	146	29.81	a.4.5.28	133245
2f6rA	281	34.83		
2ijcA	145	36.69	a.152.1.3	137465
2oxgB	124	39.76		
1z82A	335	42.86		
1zzkA	82	43.14	d.51.1.1	125909
2p2rA	76	44.27		
2cx5A	158	46.73		
3boqA	160	47.68		
1lki	180	54.71		
2q0xA	335	59.79		
1wdvA	152	60.55	d.116.1.1	114539
2dxaA	166	61.60		
1vjfA	180	61.98	d.116.1.1	100809
1nu4A	97	64.64	d.58.7.1	80731
1oo0B	110	65.46	d.58.7.1	87183
2o4dA	165	65.71	a.152.1.3	138907
1zuhA	168	66.86		
2h8gA	267	67.06		
1rw1A	114	79.68	c.47.1.12	111945
1fn9A	365	81.31	d.196.1.1	59894
2pbfA	227	81.95		
2e2zA	100	82.09		
2bt2A	161	86.50