# 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
1bplB	294	9.012	b.71.1.1	27716
1u0jA	267	11.93	c.37.1.20	107546
2g64A	140	20.65	d.96.1.2	134694
1x3zB	72	35.59	a.189.1.1	121674
1j3wA	163	37.09	d.110.7.1	90833
2c3gA	98	42.43		
1f5jA	199	42.75	b.29.1.11	24342
3cecA	104	43.23		
1oksA	56	48.26	a.8.5.1	93271
1meoA	209	48.66	c.65.1.1	79035
2e67A	264	48.67		
1b66A	140	55.00	d.96.1.2	40657
1pvxA	194	55.71	b.29.1.11	24341
1t01A	255	57.73	a.24.9.1,a.24.9.1	106188,106189
2ictA	94	58.05		
3bc9A	599	63.89		
1bli	483	65.49		
1p3wA	404	65.94	c.67.1.3	87752
1jkxA	212	68.02	c.65.1.1	66813
1fs1B	141	68.57	a.157.1.1,d.42.1.1	19252,38664
2dtjA	178	73.90		
1dvjA	246	77.04	c.1.2.3	28546
1c1lA	136	83.12	b.29.1.3	24219
2dj6A	115	84.13		
1km4A	247	85.56	c.1.2.3	72740
2g17A	337	86.00	c.2.1.3,d.81.1.1	134512,134513
1ea9C	583	88.53	b.1.18.2,b.71.1.1,c.1.8.1	70087,70088,70089
2gar	212	88.91		
2vkjA	106	89.00