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Comparison of EMD-6272 among leading backbone prediction methods.
| Method | % Cα in 3 Å | RMSD (Å) | FP% |
|---|---|---|---|
| Our method | 99.0 | 0.85 | 0.0 |
| Phenix | 88.9 | 0.69 | 3.0 |
| MAINMAST | 89.7 | 1.55 | 0.3 |
| Rosetta de-novo | 64.0 | 0.84 | 1.9 |
Each method had specific strengths, however the our deep learning method produced the most complete structure as measured by the Cα matching percentage.
