# List of top-scoring protein chains for t2k-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://compbio.soe.ucsc.edu/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 2drhA 361 4.85e-43 1b65A 375 2.02e-41 d.154.1.1 42020 3lmbA 165 17.95 2vzwA 149 19.35 2iw2A 494 19.61 3f6cA 134 19.95 1uwzA 136 22.29 c.97.1.1 108081 2jg1A 330 30.73 1w26A 432 34.13 a.223.1.1,d.241.2.1,d.26.1.1 109085,109086,109087 3l0qA 554 37.46 1xl3C 92 37.80 a.243.1.1 122104 2bonA 332 39.17 e.52.1.2 146163 3hlfA 432 43.00 1t82A 155 44.28 d.38.1.5 106639 3iefA 233 45.32 1ualA 274 46.20 c.116.1.4 88383 3lmmA 583 47.70 1t3lA 337 53.84 b.34.2.1,c.37.1.1 106358,106359 2fr5A 146 57.93 c.97.1.1 133965 2ffyA 358 60.40 e.3.1.1 133394 1x45A 98 62.32 b.36.1.1 121679 3knuA 253 64.01 3fkjA 347 65.89 1wyjA 125 67.06 3eqzA 135 71.81 1vpqA 273 73.92 c.1.32.1 113974 2qmqA 286 76.64 1ajsA 412 78.44 c.67.1.1 34276 1yqsA 349 79.67 e.3.1.1 123899 3gwzA 369 81.09 3lp8A 442 81.21 2z3hA 130 82.83 c.97.1.1 153998 1v54C 261 87.94 f.25.1.1 100324 3l52A 284 89.95