# List of top-scoring protein chains for t2k-w0.5-1-pb-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 1u04A 771 0.03424 b.34.14.1,c.55.3.10 107539,107540 2chuA 296 19.72 c.92.2.4 130485 1lwyA 324 30.41 a.96.1.3,d.129.1.2 78285,78286 3bw6A 144 40.12 1cj3A 392 43.47 c.3.1.2,d.16.1.2 30347,37878 2exuA 200 46.70 2r9zA 463 51.47 1gprA 162 54.54 b.84.3.1 28267 2e11A 266 54.93 1ykjA 394 55.81 2phzA 311 57.01 2giaA 195 57.28 d.18.1.4 135221 1gpr 162 57.86 1fbtA 190 59.25 c.60.1.4 34004 1qhsA 178 63.06 c.37.1.3 31938 2yquA 455 63.51 1jrmA 104 68.93 d.206.1.1 67136 1f89A 291 69.16 d.160.1.1 64988 1d0nA 729 71.58 d.109.1.1,d.109.1.1,d.109.1.1,d.109.1.1,d.109.1.1,d.109.1.1 40834,40835,40836,40837,40838,40839 1xhcA 367 71.99 c.3.1.5,c.3.1.5,d.87.1.1 115292,115293,115294 1vaoA 560 73.21 d.58.32.1,d.145.1.1 39461,41724 2awkA 228 73.25 1ew0A 130 74.21 d.110.3.2 40905 1f3zA 161 74.93 b.84.3.1 28273 1yqzA 438 77.93 2a8nA 144 86.44 c.97.1.2 126408