# List of top-scoring protein chains for t04-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://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
2i1mA	333	8.674		
1p49A	562	16.40	c.76.1.2	94089
3b5qA	482	18.08		
2ptzA	432	20.81		
1zotA	358	23.33		
2hs5A	239	25.96		
1wo8A	126	30.64	c.24.1.2	121110
1ryp2	233	32.20		
1c9oA	66	41.52	b.40.4.5	25325
1h6pA	203	44.98	a.146.1.1	60690
1lml	478	45.95		
1bkdS	439	46.76	a.117.1.1	19111
3bu8A	235	47.53		
1gvfA	286	48.02	c.1.10.2	70599
1p0zA	131	51.74	d.110.6.1	93882
2hrdA	253	52.11		
1zwyA	185	52.42	c.51.4.3	125753
1egaA	301	52.71	c.37.1.8,d.52.3.1	32150,38836
1xauA	122	55.70	b.1.1.4	115041
2f9iB	285	56.23		
3bqoA	211	56.81		
1gp8A	40	59.80	j.58.1.1	46342
1ufmA	84	68.37	a.4.5.47	107816
2hziA	277	69.54		
2d40A	354	71.34		
1mogA	67	74.30	d.230.2.1	85034
3bhyA	283	80.08		
1nvvS	481	83.58	a.117.1.1	86279
1wmwA	330	83.98		
1ppjA	446	85.96	d.185.1.1,d.185.1.1	104252,104253