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. 2016 Jul 29;12(7):e1005038. doi: 10.1371/journal.pcbi.1005038

Table 1. Performance of CLADE, CLADEBEv, HMMScan and HHblits on a SCOP dataset of sequences.

ASTRAL10 Mono-source Multi-source
HMMScan CLADE CLADEBEv
TP 24 217 165
FP 10 89 141
FN 272 0 0
F-measure 0.15 0.83 0.70
PPV 0.71 0.71 0.54
Sen 0.08 1 1
HHblits CLADE_HHblits CLADEBEvHHblits
TP 29 300 289
FP 144 5 16
FN 133 1 1
F-measure 0.17 0.99 0.97
PPV 0.17 0.98 0.95
Sen 0.18 1 1
ASTRAL30 Mono-source Multi-source
HMMScan CLADE CLADEBEv
TP 430 994 741
FP 127 229 471
FN 694 28 39
F-measure 0.51 0.89 0.74
PPV 0.77 0.81 0.61
Sen 0.38 0.97 0.95
HHblits CLADE_HHblits CLADEBEvHHblits
TP 476 1241 1150
FP 502 7 97
FN 318 3 4
F-measure 0.54 1 0.96
PPV 0.49 0.99 0.92
Sen 0.6 1 1
ASTRAL95 Mono-source Multi-source
HMMScan CLADE CLADEBEv
TP 7000 8512 7772
FP 710 117 857
FN 923 4 4
F-measure 0.9 0.99 0.95
PPV 0.91 0.99 0.90
Sen 0.88 1 1
HHblits CLADE_HHblits CLADEBEvHHblits
TP 3934 8537 7947
FP 1679 96 686
FN 3020 0 0
F-measure 0.63 0.99 0.96
PPV 0.7 0.99 0.92
Sen 0.57 1 1

SCOP datasets ASTRAL95, ASTRAL30, ASTRAL10 contain sequences with at most 95%, 30%, 10% of sequence identity.