# List of top-scoring protein chains for t04-w0.5-1-n_notor-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 1j3mA 129 9.580 d.129.7.1 103836 1sz2A 332 12.45 c.55.1.7 112169 2gfiA 458 18.23 2e1nA 138 19.10 2ia0A 171 20.16 1xmaA 145 20.95 a.4.5.61 115477 1q9uA 130 30.01 d.129.7.1 96314 2dbbA 151 33.28 2ivmA 150 34.07 2qz8A 149 35.34 1yovA 537 38.80 c.111.1.2 123785 1qwgA 251 40.93 c.1.27.1 96473 2cfxA 144 44.35 a.4.5.32,d.58.4.2 130395,130396 2e7yA 280 46.21 1rypK 198 46.70 d.153.1.4 41879 2cyyA 151 48.84 a.4.5.32,d.58.4.2 131028,131029 2p5vA 162 49.35 2cg4A 152 54.40 a.4.5.32,d.58.4.2 130417,130418 1jk7A 323 55.01 d.159.1.3 63144 2iuyA 342 60.59 2ri9A 475 61.23 2o09A 189 62.08 2e7xA 150 62.46 1odzA 386 64.89 c.1.8.3 86889 1m2eA 135 65.74 c.23.1.5 78478 2okxA 956 70.20 2bkhA 814 71.71 1khvA 516 75.12 e.8.1.4 68627 1opc 110 77.46 2pn6A 150 80.19 3bp1A 290 84.42 1ri7A 171 86.99 a.4.5.32,d.58.4.2 97504,97505 1sw2A 275 88.23 c.94.1.1 106064 2yzvA 303 90.00