# 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
2eo0A	147	0.1970		
1gefA	123	0.3723	c.52.1.18	60465
1ob8A	135	0.4987	c.52.1.18	111627
1hh1A	143	1.494	c.52.1.18	61036
1u20A	212	4.693	d.113.1.1	119463
1y88A	199	6.826	a.60.4.3,c.52.1.30	116560,116561
1xmxA	385	13.78	c.52.1.26	115568
2arcA	164	19.56	b.82.4.1	28148
2je6B	250	30.36		
2inbA	140	33.47		
2pjuA	225	38.26		
1ofzA	312	50.70	b.68.8.1	86978
1dynA	125	52.29	b.55.1.1	26955
1ucsA	64	53.30	b.85.1.1	88466
1ojrA	274	56.41	c.74.1.1	93147
1hg7A	66	58.17	b.85.1.1	28280
3cneA	175	60.60		
1r6lA	239	60.65	d.14.1.4,d.101.1.1	97153,97154
3b4tA	262	61.87		
2q49A	359	66.96	c.2.1.3,d.81.1.1	139831,139832
2jc5A	259	82.82		
2q5cA	196	83.97		
2a7mA	250	86.79