# List of top-scoring protein chains for t2k-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://compbio.soe.ucsc.edu/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
1k04A	162	1.766	a.24.14.1	67904
3ixgA	358	21.12		
2ot3A	274	24.27	a.222.1.1	139311
1wmwA	330	28.67		
2okuA	131	31.75	a.48.5.1	148809
1wwmA	190	34.47	a.132.1.3	121363
1qghA	156	37.75	a.25.1.1	16728
1xlyA	234	38.33	a.232.1.1	115457
3hejA	143	39.43		
1l6nA	289	47.39	a.61.1.1,a.73.1.1	73624,73625
2pi0A	116	52.17	a.4.5.23	149489
2aqjA	538	53.78		
2wzgA	525	56.37		
1mmoB	384	57.74	a.25.1.2	16768
1gd0A	122	60.06	d.80.1.3	39834
1mexH	215	63.80	b.1.1.1,b.1.1.2	91257,91258
1hfoA	113	66.16	d.80.1.3	61006
1ds6B	180	68.72	b.1.18.8	21898
3ixdA	358	70.24		
1gifA	115	71.71	d.80.1.3	39837
3djhA	114	77.38		
1nslA	184	77.76	d.108.1.1	86137
3d2uA	281	79.04		
2gdgA	114	79.50	d.80.1.3	135015
3lr4A	126	80.42		
3jszA	525	81.27		
3h2gA	397	82.15		
3ijjA	114	84.54		
1cqeA	580	85.26	a.93.1.2,g.3.11.1	18703,44246
1odmA	331	86.18	b.82.2.1	86875
2o6yA	521	89.38