Table 3 The comparative results of the proposed method with traditional strategies
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 | SVR | 68.13% | 53.57% | 44.98% | 43.44% | 36.20% | 30.44% | 38.37% | 32.84% | 27.96% |
SVC | 62.60% | 49.68% | 42.26% | 38.20% | 32.05% | 27.56% | 36.89% | 29.75% | 26.51% | |
RRCRank | 67.48% | 54.97% | 46.02% | 47.38% | 37.87% | 31.74% | 48.69% | 40.78% | 34.77% | |
Hard targets | SVR | 56.80% | 45.83% | 39.53% | 35.20% | 31.06% | 26.07% | 19.60% | 16.40% | 14.18% |
SVC | 54.00% | 44.77% | 38.52% | 35.60% | 30.24% | 26.09% | 20.00% | 15.62% | 14.77% | |
RRCRank | 57.20% | 46.06% | 39.72% | 40.00% | 31.39% | 26.29% | 30.40% | 23.31% | 18.57% | |