Table 1.
Tool |
The top 1 model |
The best model |
# targets that have templates identified |
||
---|---|---|---|---|---|
Specificity | Sensitivity | Specificity | Sensitivity | ||
PSI-BLAST-multi |
80.28% |
53.27% |
88.73% |
58.88% |
71 |
CS-BLAST |
73.97% |
50.47% |
78.08% |
53.27% |
73 |
CENTER |
67.29% |
67.29% |
71.96% |
71.96% |
107 |
STAR |
67.29% |
67.29% |
71.96% |
71.96% |
107 |
HMMER |
66.67% |
56.07% |
77.78% |
65.42% |
90 |
SS |
66.04% |
65.42% |
71.96% |
71.96% |
107 |
HHSearch |
65.42% |
65.42% |
72.90% |
72.90% |
107 |
BLAST |
65.38% |
47.66% |
69.23% |
50.47% |
78 |
CSI-BLAST |
62.63% |
57.94% |
66.67% |
61.68% |
99 |
COMPASS |
62.50% |
60.75% |
71.15% |
69.16% |
104 |
PSI-BLAST-single |
62.50% |
56.07% |
67.71% |
60.75% |
96 |
PRC |
62.14% |
59.81% |
69.90% |
67.29% |
103 |
SAM |
61.32% |
60.75% |
67.92% |
67.29% |
106 |
CONSTRUCT | 60.75% | 60.75% | 71.96% | 71.96% | 107 |
The specificity is the fraction of the targets with at least one template identified by a method having a GDT-TS score > = 0.5, i.e. the number of targets for which a good template is identified divided by the number of targets for which at least one template is identified. The specificity measures the precision of template identification of a method. The sensitivity is the number of targets for which a good template (i.e. its GDT-TS score >0.5) is identified divided by all the targets in consideration in this experiment (i.e. 107), assuming that all the targets have at least one reasonable template. The two measures (i.e. sensitivity and specificity) are complementary.