Table 2 The comparative results of the proposed method with other methods on CASP12 dataset
From: RRCRank: a fusion method using rank strategy for residue-residue contact prediction
Methodsa | Short-range | Medium-range | Long-range | ||||||
|---|---|---|---|---|---|---|---|---|---|
Top 5 | L/10 | L/5 | Top 5 | L/10 | L/5 | Top 5 | L/10 | L/5 | |
PSICOV | 33.09% | 25.99% | 19.44% | 38.55% | 31.54% | 23.86% | 37.09% | 33.65% | 28.01% |
CCMpred | 40.00% | 31.56% | 24.10% | 46.91% | 36.52% | 30.22% | 41.82% | 38.54% | 34.44% |
GREMLIN | 40.00% | 30.75% | 24.08% | 46.18% | 35.84% | 30.25% | 44.00% | 37.59% | 34.31% |
RF-classifiers | 55.27% | 45.78% | 37.81% | 31.64% | 29.11% | 23.67% | 29.45% | 23.04% | 20.16% |
RRCRank | 62.55% | 51.59% | 41.90% | 42.18% | 37.40% | 29.93% | 48.36% | 39.34% | 34.37% |