# List of top-scoring protein chains for t04-w0.5-1-n_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://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
1u6eA	335	12.03	c.95.1.2,c.95.1.2	119568,119569
1ezjA	115	35.24	h.1.14.1	45638
2glwA	92	35.76		
1jmtA	104	39.15	d.58.7.3	63180
1ku3A	73	45.31	a.4.13.2	73000
2q18X	293	45.51		
1hnjA	317	45.55	c.95.1.2,c.95.1.2	35969,35970
3b4wA	495	50.93		
1rzsA	61	52.64	a.35.1.2	105139
3bwgA	239	54.04		
2j7qA	232	54.10		
2b4vA	468	63.71	a.160.1.4,d.218.1.10	127864,127865
1zuwA	272	68.42		
1oroA	213	69.99	c.61.1.1	34093
2oynA	146	70.10		
1yioA	208	72.79	a.4.6.2,c.23.1.1	123326,123327
2g7oA	70	73.68	a.241.1.1	134736
1k30A	368	74.77	c.112.1.1	68067
2vbuA	136	76.95		
2f60K	64	78.77		
3grsA	478	79.71	c.3.1.5,c.3.1.5,d.87.1.1	30441,30442,40152
2hueC	84	81.76	a.22.1.1	136776
2yyyA	343	82.62		
1elqA	390	87.57	c.67.1.3	34436