# List of top-scoring protein chains for t06-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://compbio.soe.ucsc.edu/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
1uj2A	252	5.628	c.37.1.6	99452
2dwkA	180	5.886		
1xrjA	261	15.45	c.37.1.6	122256
1svmA	377	16.07	c.37.1.20	112126
2avwA	311	17.05		
1y08A	323	20.40	d.3.1.12	116280
3h8lA	409	22.57		
2oa4A	101	23.16	a.4.12.3	148690
1okcA	297	23.43	f.42.1.1	93248
3cjwA	244	23.68		
3a7sA	228	34.75		
3e9nA	245	40.87		
3bgaA	1010	45.37		
1oshA	232	45.65	a.123.1.1	93496
3gygA	289	46.03		
2od4A	101	49.29	d.58.4.20	148734
2vbfA	570	50.32		
3m5rA	133	54.87		
2bngA	149	54.94	d.17.4.8	146156
2fs2A	151	59.06	d.38.1.5	134003
2ahfA	377	60.26		
2bcoA	350	66.47	c.56.5.7	128302
2ia1A	178	67.62	d.359.1.1	147583
3lvmA	423	69.59		
3g1lA	256	73.51		
3fc6B	266	73.92		
1icxA	155	75.18	d.129.3.1	71191
2k0mA	104	75.66		
1upvA	257	75.74	a.123.1.1	113398
3d19A	283	78.63	a.29.13.1,a.29.13.1	157176,157177
2nptA	106	87.00	d.15.2.2	138448
1zbxB	141	88.58	d.339.1.1	124877