Mod. Reg. Data set Correct topology location Sens- itivity Speci- ficity TMMOD 1 (a) (b) (c) S (78.3%) 51 (61.4%) 64 (77.1%) 67 (80.7%) 52 (62.7%)

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Presentation transcript:

TMMOD: An improved hidden Markov model for predicting transmembrane topology (Bioinformatics 2005)

Mod. Reg. Data set Correct topology location Sens- itivity Speci- ficity TMMOD 1 (a) (b) (c) S-83 65 (78.3%) 51 (61.4%) 64 (77.1%) 67 (80.7%) 52 (62.7%) 97.4% 71.3% 97.1% TMMOD 2 61 (73.5%) 54 (65.1%) 66 (79.5%) 99.4% 93.8% 99.7% TMMOD 3 70 (84.3%) 74 (89.2%) 71 (85.5%) 98.2% 95.3% 99.1% TMHMM 69 (83.1%) 96.2% PHDtm (85.5%) (88.0%) 98.8% 95.2% S-160 117 (73.1%) 92 (57.5%) 128 (80.0%) 103 (64.4%) 126 (78.8%) 77.4% 96.1% 97.0% 80.8% 96.7% 120 (75.0%) 97 (60.6%) 118 (73.8%) 132 (82.5%) 121 (75.6%) 135 (84.4%) 98.4% 97.7% 97.2% 95.6% 110 (68.8%) 135 (84.4%) 133 (83.1%) 124 (77.5%) 143 (89.4%) 97.8% 94.5% 98.3% 97.6% 98.1% 123 (76.9%) 134 (83.8%)

Fitness value:

L. Petersen et al, (2003), J. Mol. Biol. 326:1361-1372.

BMC Bioinformatics, 2007.