# 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 2fi0A 81 0.6795 a.248.1.1 133507 1w9iA 770 8.573 2v26A 784 17.54 1w7jA 795 22.76 b.34.3.1,c.37.1.9 120688,120689 2d5rB 116 25.18 1y6uA 70 27.99 1gbs 185 28.80 1u3eM 174 29.91 d.4.1.3,d.285.1.1 107640,107641 2bkhA 814 32.27 1gbsA 185 42.64 d.2.1.5 36986 2feaA 236 44.93 c.108.1.20 133327 2b5aA 77 48.85 a.35.1.3 127882 2uwxA 494 56.46 e.3.1.1 140002 1qw1A 121 61.22 2gwfB 134 62.91 2qnuA 226 63.27 1jpyA 137 65.45 g.17.1.6 67065 2z15A 130 70.32 1ae7A 119 70.74 a.133.1.2 19553 2oap1 511 71.28 1fe0A 68 72.62 d.58.17.1 39345 1fipA 98 72.67 a.4.1.12 18980 1sur 215 73.33 1aorA 605 74.87 a.110.1.1,d.152.1.1 19042,41794 1vk3A 615 75.80 d.79.4.1,d.79.4.1,d.139.1.1,d.139.1.1 100846,100847,100848,100849 2nxoA 291 76.36 2ezhA 75 79.24 a.4.1.2 16029 2v9cA 215 80.73 2qipA 165 81.18 1x46A 150 82.69 2cobA 70 85.30 a.4.1.15 130673 2i9uA 439 88.32