# List of top-scoring protein chains for t06-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://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
1p3wA	404	5.175	c.67.1.3	87752
2raqA	97	19.46		
2h30A	164	29.97		
1s6yA	450	35.36	c.2.1.5,d.162.1.2	105314,105315
2gmgA	105	35.38		
1i8oA	114	42.50	a.3.1.1	61979
1wdcB	156	47.58	a.39.1.5	17302
1kmkA	406	51.44	c.67.1.3	68696
1jdlA	121	53.93	a.3.1.1	66557
1p9qC	256	55.06	a.5.8.1,d.235.1.2,d.58.11.3	104093,104094,104095
1wdcC	156	55.56	a.39.1.5	17317
2zbtA	297	56.89		
2z69A	154	60.72		
1jetA	517	60.75	c.94.1.1	35718
1aua	296	63.29		
1ijqA	316	64.12	b.68.5.1,g.3.11.1	62506,62507
2o8iA	165	64.30		
2g2kA	170	67.43		
2i5tA	188	69.24		
1w7jB	151	70.60	a.39.1.5	120690
2pefA	373	71.16		
1t3iA	420	72.89	c.67.1.3	106354
1auaA	296	73.12	a.5.3.1,c.13.1.1	16290,30882
1t6sA	162	73.82	a.4.5.60,a.4.5.60	112271,112272
2scpA	174	80.92	a.39.1.5	17256
1f9mA	112	85.38	c.47.1.1	32736
2g3mA	693	87.09		
1t95A	240	89.61	a.5.8.1,d.235.1.2,d.58.11.3	106705,106706,106707