# List of top-scoring protein chains for t04-w0.5-1-o_sep-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
1sxjC	340	3.458	a.80.1.1,c.37.1.20	106085,106086
1svjA	156	11.21	d.220.1.1	106049
2pibA	216	15.44		
1f0nA	285	17.99	c.69.1.3	34636
2ovkC	159	20.11		
2raqA	97	25.01		
2z69A	154	30.33		
2o8iA	165	36.07		
1rypC	244	37.72	d.153.1.4	41934
2qacA	146	40.32		
2zbtA	297	42.51		
1izoA	417	45.35	a.104.1.1	83851
1pv1A	299	47.94	c.69.1.34	111639
1xuvA	178	48.55	d.129.3.5	116069
2gv5A	161	56.86		
1t95A	240	65.65	a.5.8.1,d.235.1.2,d.58.11.3	106705,106706,106707
2o5gA	148	65.70		
2qeeA	437	67.63		
2z99A	219	68.36		
1wdcC	156	70.08	a.39.1.5	17317
1st9A	143	73.49	c.47.1.10	98987
1gdvA	85	76.97	a.3.1.1	60458
1w7jB	151	78.67	a.39.1.5	120690
2yxtA	312	80.31		
2p5qA	170	80.46		
1uddA	226	84.69	a.132.1.3	107776
2f3yA	148	87.29		
2zfdA	226	88.26