# List of top-scoring protein chains for t06-w0.5-1-n_sep-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 1zowA 313 9.935 1hnjA 317 10.53 c.95.1.2,c.95.1.2 35969,35970 2ebdA 309 18.05 1a3yA 149 18.54 b.60.1.1 27110 1v5dA 386 19.65 a.102.1.2 113537 2q18X 293 20.79 2oynA 146 29.78 2glwA 92 36.66 1u6eA 335 38.60 c.95.1.2,c.95.1.2 119568,119569 1k8tA 510 42.39 e.41.1.1 68316 1g6oA 330 44.50 c.37.1.11 32430 1ezjA 115 46.15 h.1.14.1 45638 2hoqA 241 48.33 1m7vA 363 48.67 d.174.1.1 78748 2pt7A 330 50.69 1rzsA 61 52.89 a.35.1.2 105139 1mzjA 339 57.41 c.95.1.2,c.95.1.2 79700,79701 2g9wA 138 58.96 2gd9A 189 62.31 1aj2A 282 69.00 c.1.21.1 29665 2vbuA 136 72.15 1tedA 393 74.44 c.95.1.2 106807 1sd4A 126 75.16 a.4.5.39 105428 1pq1A 196 78.03 f.1.4.1 94986 1i88A 389 78.37 c.95.1.2,c.95.1.2 66070,66071 1n62B 809 79.99 d.41.1.1,d.133.1.1 80092,80093 2eixA 243 80.77 1ku3A 73 81.29 a.4.13.2 73000 2r6hA 290 81.55 2f60K 64 81.79 2g7oA 70 85.52 a.241.1.1 134736 2cxyA 125 88.71