# 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
1sxjC	340	5.512	a.80.1.1,c.37.1.20	106085,106086
1f0nA	285	17.39	c.69.1.3	34636
2pibA	216	21.64		
1svjA	156	23.80	d.220.1.1	106049
2ovkC	159	25.75		
2raqA	97	27.05		
2z69A	154	31.08		
2qacA	146	31.97		
2o8iA	165	36.14		
1rypC	244	38.27	d.153.1.4	41934
1pv1A	299	47.64	c.69.1.34	111639
2zbtA	297	49.95		
2gv5A	161	55.02		
1izoA	417	55.43	a.104.1.1	83851
1xuvA	178	59.58	d.129.3.5	116069
2z99A	219	61.25		
1w7jB	151	63.09	a.39.1.5	120690
2o5gA	148	65.20		
2zfdA	226	68.39		
1njgA	250	69.70	c.37.1.20	85785
3c85A	183	73.74		
1gdvA	85	76.88	a.3.1.1	60458
1xknA	355	77.16	d.126.1.6	115414
2f3yA	148	78.80		
2vqeM	126	80.10		
1lvaA	258	83.33	a.4.5.35,a.4.5.35,a.4.5.35,a.4.5.35	74276,74277,74278,74279
1uddA	226	86.42	a.132.1.3	107776
1t95A	240	87.74	a.5.8.1,d.235.1.2,d.58.11.3	106705,106706,106707