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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%
  1. aThe best results are show with bold font for each category