# List of top-scoring protein chains for t04-w0.5-1-str2-0.1-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
2on8A	56	1.08e-12		
2igdA	61	1.18e-12	d.15.7.1	37821
2qmtA	56	1.33e-12		
2igd	61	1.50e-12		
2gi9A	56	1.53e-12		
1cvrA	435	2.802	b.1.18.12,c.17.1.2	21949,31006
2b7eA	59	2.966		
2f15A	96	28.19		
1z0mA	96	31.95		
3cjsA	60	34.23		
1z0nA	96	35.07		
1x2gA	337	35.58		
1vf8A	377	37.14	c.1.8.5,d.26.3.1	120029,120030
1e9lA	377	40.38	c.1.8.5,d.26.3.1	59395,59396
1y4oA	104	45.28		
1krnA	88	46.17	g.14.1.1	44629
1v2yA	105	48.20	d.15.1.1	100275
1i71A	83	48.28	g.14.1.1	61864
1ql3A	99	53.41	a.3.1.1	15822
2f6eA	127	60.03		
5hpgA	84	64.29	g.14.1.1	44642
1nl1A	147	64.61	g.14.1.1,g.32.1.1	91949,91950
1gxmA	332	65.37	a.102.5.1	76371
1qx2A	76	67.46	a.39.1.1	104622
1hz6A	72	67.87	d.15.7.1	61429
2i7hA	189	69.42		
1sc3A	178	69.65	c.17.1.1	105416
2ifxA	114	69.73		
2qsbA	89	77.10		
2e5aA	347	82.23		
2qklA	127	84.71		
2qzgA	94	85.42		
2a1xA	308	87.94	b.82.2.9	126022