# List of top-scoring protein chains for t2k-w0.5-1-alpha-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 1xrjA 261 0.1617 c.37.1.6 122256 1uj2A 252 3.353 c.37.1.6 99452 2c12A 439 4.449 a.29.3.1,e.6.1.1 129616,129617 1p3wA 404 9.826 c.67.1.3 87752 2cxnA 557 10.35 3ljkA 543 17.50 2oa4A 101 19.21 a.4.12.3 148690 2od4A 101 28.57 d.58.4.20 148734 1elqA 390 32.77 c.67.1.3 34436 3d19A 283 32.79 a.29.13.1,a.29.13.1 157176,157177 1kmkA 406 32.97 c.67.1.3 68696 3kgxA 393 33.74 3hjbA 574 38.64 1u0tA 307 38.89 e.52.1.1 107567 1iatA 557 40.27 c.80.1.2 62123 1h0cA 392 42.66 c.67.1.3 83424 1wymA 155 44.76 2zc0A 407 46.18 1okcA 297 48.48 f.42.1.1 93248 3kgwA 393 50.87 1snrA 341 53.79 b.6.1.3,b.6.1.3 105823,105824 1eluA 390 57.65 c.67.1.3 34434 1qhlA 227 61.32 c.37.1.12 32382 2avwA 311 64.53 1j6rA 214 73.88 d.173.1.2 71598 1tn6A 382 77.48 a.118.6.1 112527 3czbA 351 79.75 2hoxA 427 81.09 c.67.1.1 136644 3dffA 273 81.32 2amuA 143 82.76 3m5rA 133 83.35 1qhfA 240 89.55 c.60.1.1 33960