Table 1.
Test on MUSTER database.
| Methods | Reference-dependent (Q-score)
|
Reference-independent (TM-score) | ||||
|---|---|---|---|---|---|---|
| Dali | TMalign | Matt | MUSTER | Deep Align | ||
|
|
|
|||||
| PROMALS | 51.6 | 48.1 | 49.5 | 51.5 | 53.5 | 0.515 |
| SFESA (O)+PROMALS | 53.4 | 49.6 | 51.5 | 53.2 | 55.0 | 0.521 |
| SFESA (O+G)+PROMALS | 53.6 | 49.6 | 51.6 | 53.4 | 55.1 | 0.522 |
| SFESA (O+G+M)+PROMALS | 54.2 | 50.2 | 52.1 | 54.0 | 55.3 | 0.523 |
| SFESA (O+G+M+S)+PROMALS | 54.2 | 50.0 | 52.0 | 53.8 | 55.7 | 0.525 |
| HHpred | 49.3 | 45.3 | 46.7 | 49.0 | 49.7 | 0.490 |
| SFESA (O)+HHpred | 49.2 | 45.2 | 46.8 | 48.8 | 49.8 | 0.490 |
| SFESA (O+G)+HHpred | 49.4 | 45.2 | 47.0 | 49.1 | 50.0 | 0.491 |
| SFESA (O+G+M)+HHpred | 49.4 | 45.1 | 47.2 | 49.0 | 49.7 | 0.490 |
| SFESA (O+G+M+S)+HHpred | 49.6 | 45.3 | 47.3 | 49.1 | 49.9 | 0.491 |
| CNFpred | 51.5 | 48.2 | 49.2 | 52.4 | 53.7 | 0.511 |
| SFESA (O)+CNFpred | 52.0 | 48.3 | 49.9 | 52.5 | 54.0 | 0.511 |
| SFESA (O+G)+CNFpred | 52.2 | 48.4 | 50.1 | 52.5 | 54.1 | 0.512 |
| SFESA (O+G+M)+CNFpred | 52.6 | 48.7 | 50.4 | 52.9 | 54.0 | 0.512 |
| SFESA (O+G+M+S)+CNFpred | 52.7 | 49.0 | 50.7 | 53.3 | 54.8 | 0.515 |
Columns 2–6 indicate five different structure alignment methods to generate reference alignments (Reference-dependent evaluation). Column 7 indicates the average of query model’s TM-score built by Modeller (Reference-independent evaluation). Bold indicates the best performance in the subsection. Bold with underscore indicates the overall best performance in one column. Average Q-score and TM-score are reported.