# 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
1jndA	420	9.863	c.1.8.5,d.26.3.1	71757,71758
2ksnA	137	11.34		
1ponB	36	28.46		
1kteA	105	30.45	c.47.1.1	32771
1xu2R	47	31.15	g.24.1.2	116042
2jtvA	65	34.14		
2q4xA	221	37.37	a.132.1.3	139880
2imgA	151	40.94		
1gxsB	158	42.86		
2wk2A	540	44.19		
1qnoA	344	44.56	c.1.8.3	28838
1wt4A	73	48.00		
1itg	166	49.81		
3merA	202	52.10		
1ceo	343	52.46		
2kqzA	155	56.58		
1b43A	340	56.70	a.60.7.1,c.120.1.2	18092,33362
3m1mA	335	61.58		
2v1tA	73	63.22		
1lb2B	84	63.99	a.60.3.1	77871
3fg1A	696	64.40		
2wlzA	548	69.69		
3h9cA	547	70.67		
1go5A	69	72.02	a.5.2.3	65410
2d5bA	500	72.46	a.27.1.1,c.26.1.1	131268,131269
2o66A	135	73.14		
2oocA	113	73.22	a.24.10.6	148919
2qalM	117	73.63	a.156.1.1	150226
1d8wA	426	80.29	c.1.15.2	29394
1tkeA	224	88.16	d.15.10.1,d.67.1.1	112470,112471
2gw8A	114	88.19		
2f2gA	221	88.90	a.132.1.3	132816
1om2A	95	89.23	a.23.4.1	16520