# 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 1xrjA 261 0.2064 c.37.1.6 122256 1uj2A 252 5.224 c.37.1.6 99452 2c12A 439 5.809 a.29.3.1,e.6.1.1 129616,129617 2cxnA 557 10.57 3ljkA 543 11.73 1h0cA 392 12.97 c.67.1.3 83424 1p3wA 404 16.79 c.67.1.3 87752 2oa4A 101 25.34 a.4.12.3 148690 3hjbA 574 26.38 3d19A 283 36.06 a.29.13.1,a.29.13.1 157176,157177 1elqA 390 37.04 c.67.1.3 34436 1j6rA 214 45.53 d.173.1.2 71598 2zc0A 407 46.62 2hoxA 427 50.85 c.67.1.1 136644 1d2fA 390 51.25 c.67.1.3 34411 1iatA 557 52.55 c.80.1.2 62123 1wymA 155 52.94 2od4A 101 54.09 d.58.4.20 148734 2ou6A 190 58.62 a.213.1.2 149020 3kgxA 393 59.03 1u0tA 307 60.77 e.52.1.1 107567 2jynA 146 65.04 3md7A 293 66.83 2avwA 311 69.33 3fc7A 125 70.15 1c7nA 399 71.68 c.67.1.3 34413 1u0fA 564 71.92 c.80.1.2 112912 2msbA 115 72.00 d.169.1.1 42355 2ejwA 332 74.81 1qhlA 227 77.45 c.37.1.12 32382 3dzzA 391 86.74 3dffA 273 87.30