| Project Name | control |
| Project Name | control |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.0 | 102.9 | 86.6 | 75.4 | 64.1 | 52.9 | 49.5 | 49.4 | 47.1 | 44.8 | 37.7 | 33.2 |
| Cluster size | 334 | 227 | 193 | 183 | 231 | 156 | 156 | 95 | 175 | 79 | 90 | 81 |
| Average cluster RMSD | 2.1 | 2.2 | 2.2 | 2.4 | 3.6 | 3.0 | 3.2 | 1.9 | 3.7 | 1.8 | 2.4 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 12.40 | 11.70 | 13.10 | 12.40 | 13.60 | 11.30 | 12.10 | 11.40 | 14.40 | 15.40 | 11.40 | 12.10 |
| GDT_TS | 0.42 | 0.43 | 0.42 | 0.44 | 0.44 | 0.46 | 0.46 | 0.36 | 0.44 | 0.44 | 0.41 | 0.37 |
The table contains RMSD and GDT_TS values (calculated on the Cα atoms) between the predicted models and the input structure. Note that GDT_TS metric is intended as a more accurate measurement than the more common RMSD.
Read more about the root-mean-square deviation (RMSD) measure
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 0.00 | 3.13 | 1.36 | 1.87 | 3.07 | 4.29 | 3.15 | 5.54 | 4.50 | 5.60 | 2.34 | 6.04 |
| 2 | 3.13 | 0.00 | 3.70 | 3.62 | 3.86 | 4.14 | 1.73 | 4.44 | 5.09 | 6.21 | 3.88 | 4.75 |
| 3 | 1.36 | 3.70 | 0.00 | 1.96 | 3.03 | 4.62 | 3.54 | 6.21 | 4.50 | 5.38 | 2.71 | 6.61 |
| 4 | 1.87 | 3.62 | 1.96 | 0.00 | 3.41 | 4.28 | 3.51 | 6.03 | 4.87 | 5.52 | 2.20 | 6.52 |
| 5 | 3.07 | 3.86 | 3.03 | 3.41 | 0.00 | 4.58 | 3.03 | 6.34 | 2.95 | 4.20 | 4.35 | 6.12 |
| 6 | 4.29 | 4.14 | 4.62 | 4.28 | 4.58 | 0.00 | 3.73 | 6.55 | 5.41 | 5.15 | 4.61 | 6.52 |
| 7 | 3.15 | 1.73 | 3.54 | 3.51 | 3.03 | 3.73 | 0.00 | 4.98 | 4.50 | 5.49 | 4.16 | 4.94 |
| 8 | 5.54 | 4.44 | 6.21 | 6.03 | 6.34 | 6.55 | 4.98 | 0.00 | 6.69 | 8.19 | 5.94 | 2.54 |
| 9 | 4.50 | 5.09 | 4.50 | 4.87 | 2.95 | 5.41 | 4.50 | 6.69 | 0.00 | 3.57 | 5.66 | 5.92 |
| 10 | 5.60 | 6.21 | 5.38 | 5.52 | 4.20 | 5.15 | 5.49 | 8.19 | 3.57 | 0.00 | 6.56 | 7.56 |
| 11 | 2.34 | 3.88 | 2.71 | 2.20 | 4.35 | 4.61 | 4.16 | 5.94 | 5.66 | 6.56 | 0.00 | 6.72 |
| 12 | 6.04 | 4.75 | 6.61 | 6.52 | 6.12 | 6.52 | 4.94 | 2.54 | 5.92 | 7.56 | 6.72 | 0.00 |
The table contains RMSD values (calculated on the Cα atoms) between the predicted models.
Read more about the root-mean-square deviation (RMSD) measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 1.00 | 0.72 | 0.84 | 0.84 | 0.80 | 0.67 | 0.71 | 0.43 | 0.71 | 0.79 | 0.75 | 0.50 |
| 2 | 0.72 | 1.00 | 0.66 | 0.68 | 0.66 | 0.70 | 0.92 | 0.52 | 0.62 | 0.61 | 0.67 | 0.56 |
| 3 | 0.84 | 0.66 | 1.00 | 0.83 | 0.77 | 0.59 | 0.68 | 0.42 | 0.67 | 0.74 | 0.72 | 0.46 |
| 4 | 0.84 | 0.68 | 0.83 | 1.00 | 0.74 | 0.62 | 0.66 | 0.46 | 0.67 | 0.70 | 0.78 | 0.53 |
| 5 | 0.80 | 0.66 | 0.77 | 0.74 | 1.00 | 0.67 | 0.72 | 0.43 | 0.69 | 0.74 | 0.69 | 0.48 |
| 6 | 0.67 | 0.70 | 0.59 | 0.62 | 0.67 | 1.00 | 0.72 | 0.43 | 0.61 | 0.57 | 0.57 | 0.47 |
| 7 | 0.71 | 0.92 | 0.68 | 0.66 | 0.72 | 0.72 | 1.00 | 0.48 | 0.64 | 0.62 | 0.62 | 0.53 |
| 8 | 0.43 | 0.52 | 0.42 | 0.46 | 0.43 | 0.43 | 0.48 | 1.00 | 0.42 | 0.43 | 0.49 | 0.79 |
| 9 | 0.71 | 0.62 | 0.67 | 0.67 | 0.69 | 0.61 | 0.64 | 0.42 | 1.00 | 0.82 | 0.64 | 0.44 |
| 10 | 0.79 | 0.61 | 0.74 | 0.70 | 0.74 | 0.57 | 0.62 | 0.43 | 0.82 | 1.00 | 0.71 | 0.45 |
| 11 | 0.75 | 0.67 | 0.72 | 0.78 | 0.69 | 0.57 | 0.62 | 0.49 | 0.64 | 0.71 | 1.00 | 0.50 |
| 12 | 0.50 | 0.56 | 0.46 | 0.53 | 0.48 | 0.47 | 0.53 | 0.79 | 0.44 | 0.45 | 0.50 | 1.00 |
The table contains GDT_TS values (calculated on the Cα atoms) between the predicted models.
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
© Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw 2013