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.