Table 5 |
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| Comparison of the present work with previously published algorithms, Benchmark 2 | ||||||
| Algorithm1 | Time2 | 1-domain | 2-domain | 3-domain | 4-domain | Overall3 |
| SS Algorithm | 5s | 86% (0.75) | 64% (0.47) | 60% (0.46) | 0% (−0.03) | 69% |
| CA Algorithm | 26s | 92% (0.82) | 78% (0.69) | 76% (0.69) | 25% (0.32) | 80% |
| DDomain | 497s | 94% (0.78) | 75% (0.68) | 48% (0.56) | 25% (0.16) | 75% |
| DomainParser2 | 398s | 98% (0.86) | 75% (0.71) | 64% (0.60) | 50% (0.39) | 79% |
| PDP | 99s | 92% (0.93) | 84% (0.82) | 68% (0.69) | 75% (0.55) | 83% |
| Random (see text) | 1s | 71 ± 3% (<0) | 15 ± 7% (<0) | 1 ± 2% (<0) | 0% (<0) | 31 ± 3% |
Present work compared to DDomain [12] (using AUTHORS parameters), DomainParser2 [13] and PDP [11] on the Benchmark 2 data set. Matthews correlation coefficient is given in parentheses. 1CA refers to the α-carbon based algorithm and SS the secondary structure based one. 2Time taken for the actual execution of the binaries or detection algorithms over the full dataset on a single 2.93 GHz i7 CPU. 3Total, regardless of number of domains.
Feldman BMC Bioinformatics 2012 13:286 doi:10.1186/1471-2105-13-286
