# List of top-scoring protein chains for t06-w0.5-1-o_notor2-0.1-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
3bidA	64	9.18e-08		
2dfzA	381	7.863		
2i79A	172	21.01		
2fa1A	160	25.98	d.190.1.2	133182
2f20A	240	26.11	d.303.1.1	132791
1tqzA	133	27.01	b.55.1.11	119327
1t4nA	94	28.21	d.50.1.1	106424
2yhx	457	39.62		
1ursA	402	45.72	c.94.1.1	99833
2rp4A	76	51.97		
1wxcB	134	54.03		
1ytvA	366	58.89	c.94.1.1	124016
2d4qA	257	60.63		
1k3xA	262	62.12	a.156.1.2,b.113.1.1,g.39.1.8	77242,77243,77244
2zdiC	151	66.73		
2atrA	138	66.92	d.108.1.1	127305
2pstX	74	68.77		
2od6A	110	73.18		
2b9kA	47	74.03		
1y7rA	133	76.83	d.108.1.1	122716
2icuA	229	78.54		
2p86A	215	78.81		
2ve3A	444	80.95		
1jpzA	473	82.38	a.104.1.1	67069
2bgsA	344	84.91		
2ghaA	382	86.21		
1acf	125	87.50		
1k8kD	300	88.82	d.198.2.1,d.198.2.1	68309,68310