Table 4 The comparative results of the proposed method with the state-of-the-art methods on CASP11 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 | ||
All targets | CONSIP2 | 75.77% | 64.17% | 55.18% | 70.89% | 59.91% | 51.32% | 58.37% | 51.61% | 46.65% |
Shen-Group | 58.31% | 50.01% | 43.11% | 47.61% | 41.10% | 36.07% | 34.37% | 33.30% | 28.94% | |
MULTICOM-CLUSTER | 68.13% | 55.47% | 46.17% | 49.27% | 41.12% | 37.52% | 35.12% | 30.27% | 26.32% | |
UCI-IGB-CMpro | 52.20% | 42.79% | 36.09% | 48.94% | 41.68% | 36.09% | 36.75% | 30.38% | 28.10% | |
RRCRank | 67.48% | 54.97% | 46.02% | 47.38% | 37.87% | 31.74% | 48.69% | 40.78% | 34.77% | |
Hard targets | CONSIP2 | 68.40% | 57.60% | 50.48% | 60.40% | 50.22% | 43.14% | 41.60% | 35.21% | 30.36% |
Shen-Group | 60.89% | 50.74% | 43.72% | 48.89% | 41.62% | 35.25% | 29.33% | 27.29% | 22.94% | |
MULTICOM-CLUSTER | 62.40% | 52.91% | 43.81% | 50.00% | 40.31% | 35.74% | 24.40% | 22.09% | 17.89% | |
UCI-IGB-CMpro | 51.20% | 42.58% | 36.64% | 49.20% | 41.23% | 34.94% | 24.80% | 19.93% | 18.42% | |
RRCRank | 57.20% | 46.06% | 39.72% | 40.00% | 31.39% | 26.29% | 30.40% | 23.31% | 18.57% | |