# List of top-scoring protein chains for t2k-w0.5-1-o_sep-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
2drhA	361	1.28e-43		
1b65A	375	5.16e-42	d.154.1.1	42020
2iw2A	494	16.37		
3f6cA	134	16.69		
2vzwA	149	16.74		
3lmbA	165	21.10		
2bonA	332	22.23	e.52.1.2	146163
2jg1A	330	22.29		
1uwzA	136	29.84	c.97.1.1	108081
3iefA	233	30.24		
3hlfA	432	31.11		
3lmmA	583	31.66		
1xl3C	92	37.92	a.243.1.1	122104
1w26A	432	39.89	a.223.1.1,d.241.2.1,d.26.1.1	109085,109086,109087
3sil	379	42.81		
1ualA	274	43.41	c.116.1.4	88383
1t82A	155	48.21	d.38.1.5	106639
1t3lA	337	49.38	b.34.2.1,c.37.1.1	106358,106359
3eqzA	135	49.96		
3knuA	253	50.41		
1x45A	98	50.68	b.36.1.1	121679
1vpqA	273	52.91	c.1.32.1	113974
3l0qA	554	53.59		
1yqsA	349	57.82	e.3.1.1	123899
2fr5A	146	60.45	c.97.1.1	133965
3h4aA	158	67.67		
3ip0A	158	67.95		
3gwzA	369	73.38		
3l52A	284	77.72		
3lp8A	442	78.35		
3fkjA	347	80.20		
2ffyA	358	80.28	e.3.1.1	133394
1wyjA	125	83.50