Table 5.
Secondary structure prediction accuracy for the CASP9 set
| All(%) | FMa (%) | |||||||
|---|---|---|---|---|---|---|---|---|
| Method | Q3 | QH | QE | QC | Q3 | QH | QE | QC |
| QUARK | 79.6 | 87.3 | 63.3 | 82.1 | 70.6 | 85.9 | 38.5 | 79.3 |
| RaptorX-MSA | 79.8 | 77.8 | 73.7 | 85.4 | 68.8 | 64.2 | 52.9 | 83.9 |
| HHPREDB | 78.6 | 74.8 | 68.7 | 88.3 | 62.6 | 54.4 | 36.9 | 87.8 |
| Chunk-TASSER | 76.6 | 83.4 | 55.4 | 82.8 | 66.2 | 77.0 | 33.5 | 79.3 |
| MULTICOM-R | 80.2 | 82.4 | 74.9 | 81.2 | 70.3 | 78.7 | 53.3 | 74.6 |
| ROSETTA | 80.3 | 84.8 | 75.0 | 79.2 | 70.5 | 83.7 | 56.9 | 68.3 |
| SPARKS-X | 80.3 | 81.1 | 75.8 | 82.1 | 70.1 | 73.3 | 57.9 | 75.6 |
|
| ||||||||
| PSIPRED3.2 | 81.7 | 82.2 | 75.9 | 84.5 | 78.9 | 79.9 | 78.1 | 78.7 |
| This workb | 81.8 | 88.0 | 76.2 | 79.5 | 78.5 | 84.1 | 75.6 | 75.6 |
All secondary structures were assigned using the DSSP program.
a
Free modeling targets.
b
SPINE X trained with DSSP assignment (SS2).