# 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://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
1w7jB	151	5.175	a.39.1.5	120690
1rypC	244	14.38	d.153.1.4	41934
1z2zA	446	16.92		
2qmjA	870	26.52		
2qycA	103	26.80		
1xsjA	778	29.93	b.150.1.1,b.30.5.11,b.71.1.4,c.1.8.13	115951,115952,115953,115954
2g3mA	693	31.42		
2vqeR	88	34.48		
3c18A	290	44.26		
1z5hA	780	45.58		
1b22A	114	54.18	a.60.4.1	17969
1f5vA	240	54.81	d.90.1.1	40255
1ynuA	473	64.60	c.67.1.4	123762
1nekA	588	66.40	a.7.3.1,c.3.1.4,d.168.1.1	80426,80427,80428
2f2hA	773	67.13	b.150.1.1,b.30.5.11,b.71.1.4,c.1.8.13	132818,132819,132820,132821
2g0bA	198	68.49		
2bshA	125	71.48		
1p32A	209	71.71	d.25.1.1	38379
1t3wA	148	75.44	a.236.1.1	112233
1r8mE	203	76.19	a.118.3.1	97242
2uubR	88	76.64	a.4.8.1	139949
2q78A	153	81.82		
3bm1A	183	82.30		
1thgA	544	83.83	c.69.1.17	34763
3cuoA	99	84.81		
2fe8A	315	86.29		
3bixA	574	88.14