# 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
2ii1A	301	0.6872		
1vpbA	451	1.612	d.283.1.1	113950
1ibrB	462	12.31	a.118.1.1	19120
1vl4A	447	20.35	d.283.1.1	108718
2i5nH	258	25.07	b.41.1.1,f.23.10.1	137064,137065
1bqcA	302	29.70	c.1.8.3	28831
1tcaA	317	32.21	c.69.1.17	34726
3bmaA	407	33.54		
2pkhA	148	34.57		
2os5A	119	35.54		
1yexA	186	36.50	c.47.1.10	123021
1usgA	346	36.98	c.93.1.1	99864
1kvkA	395	38.78	d.14.1.5,d.58.26.3	73060,73061
1xebA	150	44.25	d.108.1.1	115219
2bptA	861	49.37	a.118.1.1	128951
2r7hA	177	49.87		
2hmaA	376	51.08		
2liv	344	52.76		
2nogA	173	61.35		
1we0A	187	68.38	c.47.1.10	120930
1a0pA	290	69.61	a.60.9.1,d.163.1.1	18105,42165
2odeB	141	71.92		
1sumB	235	76.05	a.7.12.1	106025
2axiA	115	77.46	a.42.1.1	127494
1z15A	344	77.97		
1uw0A	117	78.05	g.39.1.12	108063
1k0eA	453	78.86	d.161.1.1	67938
1dytA	133	85.43	d.5.1.1	37288
1othA	321	85.84	c.78.1.1,c.78.1.1	35260,35261