# List of top-scoring protein chains for t06-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
2g64A	140	6.529	d.96.1.2	134694
1h3gA	601	13.79	b.1.18.2,b.71.1.1,c.1.8.1	90594,90595,90596
3cecA	104	21.94		
2ictA	94	31.05		
2e67A	264	32.35		
2bmbA	545	43.30		
1tcvA	287	43.84		
1f5jA	199	47.38	b.29.1.11	24342
1j77A	209	49.50	a.132.1.2	62674
1p3wA	404	52.60	c.67.1.3	87752
1h4gA	207	53.35	b.29.1.11	70863
1oksA	56	55.48	a.8.5.1	93271
2qguA	211	58.75		
2pt0A	340	59.57		
1wnyA	186	60.36		
1utyA	187	62.18	b.147.1.1	108036
1b66A	140	64.83	d.96.1.2	40657
1vkrA	125	66.74	c.44.2.1	108689
2dj6A	115	68.30		
2a4vA	159	70.23	c.47.1.10	126163
1eg5A	384	78.93	c.67.1.3	34429
2cwzA	141	79.65	d.38.1.7	130961
1v9tA	166	79.74	b.62.1.1	108451
1v5xA	203	89.52	c.1.2.4	100377