From: Predicting protein residue-residue contacts using random forests and deep networks
Method | Top 10 | L/10 | L/5 |
---|---|---|---|
RaptorX-Contact (94) | 84.68% | 80.57% | 77.90% |
CONSIP2 (94) | 84.50% | 82.18% | 79.28% |
MLiD (94) | 77.34% | 74.82% | 70.92% |
rf_select (78) | 66.03% | 62.45% | 60.41% |
MULTICOM-NOVEL (94) | 58.41% | 57.59% | 57.22% |
svm (78) | 58.08% | 58.77% | 57.26% |
IASL-COPE (91) | 55.97% | 52.63% | 52.54% |
sda_balanced (78) | 55.14% | 52.85% | 51.50% |
PLCT (91) | 54.82% | 55.65% | 55.91% |
Pcons-net (87) | 53.22% | 52.18% | 51.85% |
DCA_cpp (88) | 50.85% | 44.89% | 40.65% |
raghavagps-paaint (76) | 43.29% | 44.04% | 43.84% |
sda_unbalanced (78) | 38.59% | 43.43% | 45.09% |
FoDTcm (32) | 25.00% | 30.79% | 30.60% |