# List of top-scoring protein chains for t04-w0.5-1-n_notor-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 2on8A 56 1.75e-11 2igdA 61 2.09e-11 d.15.7.1 37821 2gi9A 56 2.25e-11 2qmtA 56 2.41e-11 2igd 61 2.58e-11 2b7eA 59 2.201 1cvrA 435 3.419 b.1.18.12,c.17.1.2 21949,31006 2qklA 127 22.55 2i7hA 189 32.04 1x2gA 337 35.04 1e9lA 377 39.71 c.1.8.5,d.26.3.1 59395,59396 1vf8A 377 42.35 c.1.8.5,d.26.3.1 120029,120030 2ifxA 114 44.46 1ql3A 99 47.49 a.3.1.1 15822 1y4oA 104 50.62 1r1hA 696 54.29 d.92.1.4 104756 1sc3A 178 56.11 c.17.1.1 105416 2ek8A 421 61.44 3cjsA 60 61.58 1a9xA 1058 63.42 a.92.1.1,c.24.1.1,c.30.1.1,c.30.1.1,d.142.1.2,d.142.1.2 18550,31479,31657,31658,41502,41503 2d1pA 140 65.12 c.114.1.1 131136 3bm1A 183 69.92 2f15A 96 70.91 2e5aA 347 72.83 1z0nA 96 73.74 1z0mA 96 76.48 1zchA 255 78.36 d.90.1.1 124908 1nl1A 147 80.23 g.14.1.1,g.32.1.1 91949,91950 1qx2A 76 82.57 a.39.1.1 104622 2f6eA 127 86.87 2qsbA 89 87.78 1gxmA 332 89.33 a.102.5.1 76371