# List of top-scoring protein chains for t2k-w0.5-1-alpha-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
2g47A	990	19.21		
1cznA	169	23.79	c.23.5.1	31181
2kqzA	155	26.26		
3e11A	114	27.37	d.92.1.17	157969
1lb2B	84	28.60	a.60.3.1	77871
1om2A	95	32.39	a.23.4.1	16520
2wk2A	540	35.12		
3maxA	367	35.45		
2wlzA	548	40.38		
2d5bA	500	40.38	a.27.1.1,c.26.1.1	131268,131269
1wt4A	73	40.64		
2ebn	289	41.20		
3gg7A	254	44.16		
3ebvA	302	50.33		
1xu2R	47	52.92	g.24.1.2	116042
1ag9A	175	53.74	c.23.5.1	31178
1zz1A	369	54.90		
1gc5A	467	55.93	c.72.1.3	60429
3g6mA	406	56.47		
1jndA	420	56.78	c.1.8.5,d.26.3.1	71757,71758
1c3pA	375	58.58	c.42.1.2	32606
1gaiA	472	63.72	a.102.1.1	18819
2v1tA	73	64.13		
1edtA	271	65.86	c.1.8.5	28993
1vytE	25	67.74	j.68.1.1	108912
2jtvA	65	70.51		
1ceo	343	71.81		
1go5A	69	72.47	a.5.2.3	65410
1ponB	36	73.21		
3k1hA	158	73.45		
2imgA	151	74.73		
3h9cA	547	77.60		
2eg2A	112	82.72		
2b4pA	334	84.77		
2ksnA	137	87.65		
1k04A	162	89.13	a.24.14.1	67904