Table 2.
Consensus sequences improve the local quality of structural models*
| <2 Å (Cα RMSD) | <5 Å (Cα RMSD) | |||||
|---|---|---|---|---|---|---|
| PSI-BLAST | PROFILE-CONSENSUS | MAMMOTH | PSI-BLAST | PROFILE-CONSENSUS | MAMMOTH | |
| SCOP superfamily, only | 14.4 (±0.1) | 15.7 (±0.2) | 16.5 (±0.2) | 23.8 (±0.3) | 27.9 (±0.3) | 35.3 (±0.3) |
| PSI-BLAST e-values 10−3–10 | 26.8 (±0.4) | 28.0 (±0.4) | 26.1 (±0.4) | 51.6 (±0.6) | 58.4 (±0.7) | 62.8 (±0.7) |
*Data sets identical to those as in Table 1; the difference is that accuracy is now measured by considering a single sequence-consecutive segment in the model that falls below a certain distance threshold. The longest consecutive segments were identified by the program LGA. Note that thresholds reflect cutoffs in terms of Cα RMSD, i.e. the distance averaged over the entire segment. In contrast, the values in Table 1 reflect actual Cα thresholds for spatial distances.