Performance comparison of the Fold-LTR-TCP with other state-of-the-art methods on LE benchmark dataset via 2-fold cross-validation
| Methods . | Accuracy . | Source . |
|---|---|---|
| PSI-Blast | 4.0% | [39] |
| HMMER | 4.4% | [39] |
| SAM-T98 | 3.4% | [39] |
| BLASTLINK | 6.9% | [39] |
| SSEARCH | 5.6% | [39] |
| SSHMM | 6.9% | [39] |
| THREADER | 14.6% | [39] |
| Fugue | 12.5% | [64] |
| RAPTOR | 25.4% | [64] |
| SPARKS | 28.7% | [64] |
| SP3 | 30.8% | [64] |
| FOLDpro | 26.5% | [64] |
| HHpred | 25.2% | [62] |
| SP4 | 30.8% | [62] |
| SP5 | 37.9% | [62] |
| BoostThreader | 42.6% | [62] |
| SPARKS-X | 45.2% | [62] |
| RF-Fold | 40.8% | [62] |
| DN-Fold | 33.6% | [62] |
| RFDN-Fold | 37.7% | [62] |
| DN-FoldS | 33.3% | [62] |
| DN-FoldR | 27.4% | [62] |
| FFAS-3D | 35.8% | [61] |
| HH-fold | 42.1% | [61] |
| TA-fold | 53.9% | [61] |
| dRHP-PseRA | 34.9% | [65] |
| MT-fold | 59.1% | [65] |
| DeepFRpro | 66.0% | [34] |
| DeepSVM-fold | 67.3% | [35] |
| Fold-LTR-TCP | 73.2% | This study |
| Methods . | Accuracy . | Source . |
|---|---|---|
| PSI-Blast | 4.0% | [39] |
| HMMER | 4.4% | [39] |
| SAM-T98 | 3.4% | [39] |
| BLASTLINK | 6.9% | [39] |
| SSEARCH | 5.6% | [39] |
| SSHMM | 6.9% | [39] |
| THREADER | 14.6% | [39] |
| Fugue | 12.5% | [64] |
| RAPTOR | 25.4% | [64] |
| SPARKS | 28.7% | [64] |
| SP3 | 30.8% | [64] |
| FOLDpro | 26.5% | [64] |
| HHpred | 25.2% | [62] |
| SP4 | 30.8% | [62] |
| SP5 | 37.9% | [62] |
| BoostThreader | 42.6% | [62] |
| SPARKS-X | 45.2% | [62] |
| RF-Fold | 40.8% | [62] |
| DN-Fold | 33.6% | [62] |
| RFDN-Fold | 37.7% | [62] |
| DN-FoldS | 33.3% | [62] |
| DN-FoldR | 27.4% | [62] |
| FFAS-3D | 35.8% | [61] |
| HH-fold | 42.1% | [61] |
| TA-fold | 53.9% | [61] |
| dRHP-PseRA | 34.9% | [65] |
| MT-fold | 59.1% | [65] |
| DeepFRpro | 66.0% | [34] |
| DeepSVM-fold | 67.3% | [35] |
| Fold-LTR-TCP | 73.2% | This study |
The bold values represent the proposed method achieving the top performance.
Performance comparison of the Fold-LTR-TCP with other state-of-the-art methods on LE benchmark dataset via 2-fold cross-validation
| Methods . | Accuracy . | Source . |
|---|---|---|
| PSI-Blast | 4.0% | [39] |
| HMMER | 4.4% | [39] |
| SAM-T98 | 3.4% | [39] |
| BLASTLINK | 6.9% | [39] |
| SSEARCH | 5.6% | [39] |
| SSHMM | 6.9% | [39] |
| THREADER | 14.6% | [39] |
| Fugue | 12.5% | [64] |
| RAPTOR | 25.4% | [64] |
| SPARKS | 28.7% | [64] |
| SP3 | 30.8% | [64] |
| FOLDpro | 26.5% | [64] |
| HHpred | 25.2% | [62] |
| SP4 | 30.8% | [62] |
| SP5 | 37.9% | [62] |
| BoostThreader | 42.6% | [62] |
| SPARKS-X | 45.2% | [62] |
| RF-Fold | 40.8% | [62] |
| DN-Fold | 33.6% | [62] |
| RFDN-Fold | 37.7% | [62] |
| DN-FoldS | 33.3% | [62] |
| DN-FoldR | 27.4% | [62] |
| FFAS-3D | 35.8% | [61] |
| HH-fold | 42.1% | [61] |
| TA-fold | 53.9% | [61] |
| dRHP-PseRA | 34.9% | [65] |
| MT-fold | 59.1% | [65] |
| DeepFRpro | 66.0% | [34] |
| DeepSVM-fold | 67.3% | [35] |
| Fold-LTR-TCP | 73.2% | This study |
| Methods . | Accuracy . | Source . |
|---|---|---|
| PSI-Blast | 4.0% | [39] |
| HMMER | 4.4% | [39] |
| SAM-T98 | 3.4% | [39] |
| BLASTLINK | 6.9% | [39] |
| SSEARCH | 5.6% | [39] |
| SSHMM | 6.9% | [39] |
| THREADER | 14.6% | [39] |
| Fugue | 12.5% | [64] |
| RAPTOR | 25.4% | [64] |
| SPARKS | 28.7% | [64] |
| SP3 | 30.8% | [64] |
| FOLDpro | 26.5% | [64] |
| HHpred | 25.2% | [62] |
| SP4 | 30.8% | [62] |
| SP5 | 37.9% | [62] |
| BoostThreader | 42.6% | [62] |
| SPARKS-X | 45.2% | [62] |
| RF-Fold | 40.8% | [62] |
| DN-Fold | 33.6% | [62] |
| RFDN-Fold | 37.7% | [62] |
| DN-FoldS | 33.3% | [62] |
| DN-FoldR | 27.4% | [62] |
| FFAS-3D | 35.8% | [61] |
| HH-fold | 42.1% | [61] |
| TA-fold | 53.9% | [61] |
| dRHP-PseRA | 34.9% | [65] |
| MT-fold | 59.1% | [65] |
| DeepFRpro | 66.0% | [34] |
| DeepSVM-fold | 67.3% | [35] |
| Fold-LTR-TCP | 73.2% | This study |
The bold values represent the proposed method achieving the top performance.
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