| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 187.9 | 144.7 | 144.7 | 135.2 | 103.3 | 86.2 | 85.0 | 76.1 | 71.0 | 62.1 | 35.2 | 21.0 |
| Cluster size | 319 | 260 | 248 | 219 | 181 | 159 | 149 | 128 | 129 | 106 | 66 | 36 |
| Average cluster RMSD | 1.7 | 1.8 | 1.7 | 1.6 | 1.8 | 1.8 | 1.8 | 1.7 | 1.8 | 1.7 | 1.9 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.35 | 4.09 | 3.83 | 3.40 | 4.65 | 4.90 | 3.40 | 3.85 | 3.57 | 3.26 | 5.32 | 4.15 |
| GDT_TS | 0.64 | 0.61 | 0.60 | 0.61 | 0.60 | 0.60 | 0.63 | 0.59 | 0.62 | 0.65 | 0.58 | 0.61 |
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 | 1.87 | 1.64 | 1.28 | 2.26 | 2.92 | 1.50 | 1.78 | 1.67 | 1.70 | 3.30 | 4.07 |
| 2 | 1.87 | 0.00 | 1.68 | 1.90 | 1.31 | 2.33 | 1.91 | 1.97 | 2.33 | 2.41 | 2.47 | 4.67 |
| 3 | 1.64 | 1.68 | 0.00 | 1.88 | 2.14 | 2.26 | 1.43 | 2.14 | 1.41 | 2.46 | 3.47 | 3.84 |
| 4 | 1.28 | 1.90 | 1.88 | 0.00 | 2.53 | 3.33 | 1.00 | 1.63 | 1.77 | 1.59 | 3.58 | 4.42 |
| 5 | 2.26 | 1.31 | 2.14 | 2.53 | 0.00 | 1.89 | 2.62 | 2.45 | 2.53 | 3.06 | 2.00 | 4.67 |
| 6 | 2.92 | 2.33 | 2.26 | 3.33 | 1.89 | 0.00 | 3.18 | 3.63 | 2.58 | 4.01 | 3.25 | 3.75 |
| 7 | 1.50 | 1.91 | 1.43 | 1.00 | 2.62 | 3.18 | 0.00 | 1.72 | 1.77 | 1.64 | 3.63 | 4.38 |
| 8 | 1.78 | 1.97 | 2.14 | 1.63 | 2.45 | 3.63 | 1.72 | 0.00 | 2.69 | 1.61 | 2.81 | 5.17 |
| 9 | 1.67 | 2.33 | 1.41 | 1.77 | 2.53 | 2.58 | 1.77 | 2.69 | 0.00 | 2.70 | 4.05 | 3.22 |
| 10 | 1.70 | 2.41 | 2.46 | 1.59 | 3.06 | 4.01 | 1.64 | 1.61 | 2.70 | 0.00 | 3.60 | 5.02 |
| 11 | 3.30 | 2.47 | 3.47 | 3.58 | 2.00 | 3.25 | 3.63 | 2.81 | 4.05 | 3.60 | 0.00 | 5.93 |
| 12 | 4.07 | 4.67 | 3.84 | 4.42 | 4.67 | 3.75 | 4.38 | 5.17 | 3.22 | 5.02 | 5.93 | 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 | 0.90 | 0.91 | 0.91 | 0.88 | 0.84 | 0.88 | 0.85 | 0.85 | 0.90 | 0.75 | 0.65 |
| 2 | 0.90 | 1.00 | 0.85 | 0.90 | 0.94 | 0.81 | 0.88 | 0.85 | 0.79 | 0.92 | 0.82 | 0.61 |
| 3 | 0.91 | 0.85 | 1.00 | 0.91 | 0.89 | 0.90 | 0.92 | 0.83 | 0.90 | 0.90 | 0.79 | 0.65 |
| 4 | 0.91 | 0.90 | 0.91 | 1.00 | 0.90 | 0.87 | 0.95 | 0.83 | 0.86 | 0.90 | 0.76 | 0.63 |
| 5 | 0.88 | 0.94 | 0.89 | 0.90 | 1.00 | 0.84 | 0.89 | 0.91 | 0.80 | 0.93 | 0.85 | 0.60 |
| 6 | 0.84 | 0.81 | 0.90 | 0.87 | 0.84 | 1.00 | 0.89 | 0.75 | 0.88 | 0.81 | 0.75 | 0.64 |
| 7 | 0.88 | 0.88 | 0.92 | 0.95 | 0.89 | 0.89 | 1.00 | 0.85 | 0.85 | 0.90 | 0.77 | 0.62 |
| 8 | 0.85 | 0.85 | 0.83 | 0.83 | 0.91 | 0.75 | 0.85 | 1.00 | 0.77 | 0.89 | 0.90 | 0.60 |
| 9 | 0.85 | 0.79 | 0.90 | 0.86 | 0.80 | 0.88 | 0.85 | 0.77 | 1.00 | 0.81 | 0.69 | 0.68 |
| 10 | 0.90 | 0.92 | 0.90 | 0.90 | 0.93 | 0.81 | 0.90 | 0.89 | 0.81 | 1.00 | 0.82 | 0.62 |
| 11 | 0.75 | 0.82 | 0.79 | 0.76 | 0.85 | 0.75 | 0.77 | 0.90 | 0.69 | 0.82 | 1.00 | 0.57 |
| 12 | 0.65 | 0.61 | 0.65 | 0.63 | 0.60 | 0.64 | 0.62 | 0.60 | 0.68 | 0.62 | 0.57 | 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