# List of top-scoring protein chains for t2k-w0.5-1-o_notor-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://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
1xrjA	261	0.2992	c.37.1.6	122256
2c12A	439	6.294	a.29.3.1,e.6.1.1	129616,129617
2cxnA	557	7.525		
1h0cA	392	8.956	c.67.1.3	83424
1uj2A	252	9.542	c.37.1.6	99452
3ljkA	543	11.00		
1p3wA	404	19.94	c.67.1.3	87752
2oa4A	101	27.64	a.4.12.3	148690
1elqA	390	31.37	c.67.1.3	34436
3hjbA	574	34.02		
2od4A	101	36.21	d.58.4.20	148734
1j6rA	214	37.07	d.173.1.2	71598
2z90A	161	39.52		
3d19A	283	47.31	a.29.13.1,a.29.13.1	157176,157177
3kgxA	393	50.37		
1dpsA	167	50.88	a.25.1.1	16716
1u0tA	307	54.74	e.52.1.1	107567
1snrA	341	55.54	b.6.1.3,b.6.1.3	105823,105824
1iatA	557	57.13	c.80.1.2	62123
1wymA	155	58.18		
3dffA	273	61.40		
1eluA	390	64.88	c.67.1.3	34434
2ejwA	332	66.26		
1qhlA	227	66.87	c.37.1.12	32382
2jynA	146	67.24		
3kgwA	393	67.91		
2amuA	143	69.02		
1u0fA	564	76.18	c.80.1.2	112912
2avwA	311	76.89		
3fc7A	125	86.72