| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 172.0 | 160.3 | 143.8 | 114.4 | 106.3 | 102.7 | 98.9 | 91.6 | 90.7 | 69.3 | 67.9 | 66.1 |
| Cluster size | 278 | 258 | 231 | 182 | 163 | 183 | 155 | 123 | 142 | 100 | 87 | 98 |
| Average cluster RMSD | 1.6 | 1.6 | 1.6 | 1.6 | 1.5 | 1.8 | 1.6 | 1.3 | 1.6 | 1.4 | 1.3 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.61 | 4.17 | 3.80 | 4.18 | 3.77 | 3.50 | 3.70 | 3.71 | 3.54 | 3.96 | 3.85 | 3.29 |
| GDT_TS | 0.56 | 0.57 | 0.56 | 0.55 | 0.55 | 0.58 | 0.56 | 0.58 | 0.57 | 0.56 | 0.58 | 0.59 |
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 | 3.78 | 3.89 | 3.94 | 3.05 | 3.13 | 2.43 | 2.85 | 2.75 | 3.20 | 3.07 | 3.28 |
| 2 | 3.78 | 0.00 | 3.32 | 3.33 | 4.14 | 3.83 | 3.93 | 3.79 | 3.77 | 3.40 | 4.01 | 3.44 |
| 3 | 3.89 | 3.32 | 0.00 | 2.84 | 3.94 | 3.39 | 3.70 | 3.79 | 3.96 | 3.59 | 4.17 | 2.80 |
| 4 | 3.94 | 3.33 | 2.84 | 0.00 | 3.98 | 3.72 | 3.85 | 3.97 | 3.78 | 3.75 | 4.27 | 2.96 |
| 5 | 3.05 | 4.14 | 3.94 | 3.98 | 0.00 | 3.66 | 3.31 | 3.45 | 3.11 | 3.42 | 3.54 | 3.65 |
| 6 | 3.13 | 3.83 | 3.39 | 3.72 | 3.66 | 0.00 | 2.88 | 3.09 | 3.18 | 3.11 | 3.29 | 3.02 |
| 7 | 2.43 | 3.93 | 3.70 | 3.85 | 3.31 | 2.88 | 0.00 | 2.95 | 2.76 | 3.22 | 3.30 | 3.28 |
| 8 | 2.85 | 3.79 | 3.79 | 3.97 | 3.45 | 3.09 | 2.95 | 0.00 | 3.00 | 3.05 | 2.51 | 3.29 |
| 9 | 2.75 | 3.77 | 3.96 | 3.78 | 3.11 | 3.18 | 2.76 | 3.00 | 0.00 | 3.12 | 3.06 | 3.28 |
| 10 | 3.20 | 3.40 | 3.59 | 3.75 | 3.42 | 3.11 | 3.22 | 3.05 | 3.12 | 0.00 | 2.96 | 3.53 |
| 11 | 3.07 | 4.01 | 4.17 | 4.27 | 3.54 | 3.29 | 3.30 | 2.51 | 3.06 | 2.96 | 0.00 | 3.64 |
| 12 | 3.28 | 3.44 | 2.80 | 2.96 | 3.65 | 3.02 | 3.28 | 3.29 | 3.28 | 3.53 | 3.64 | 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 | 0.68 | 0.59 | 0.62 | 0.64 | 0.62 | 0.69 | 0.65 | 0.67 | 0.64 | 0.66 | 0.63 |
| 2 | 0.68 | 1.00 | 0.63 | 0.65 | 0.62 | 0.62 | 0.65 | 0.63 | 0.68 | 0.69 | 0.65 | 0.66 |
| 3 | 0.59 | 0.63 | 1.00 | 0.67 | 0.59 | 0.63 | 0.62 | 0.59 | 0.59 | 0.61 | 0.58 | 0.70 |
| 4 | 0.62 | 0.65 | 0.67 | 1.00 | 0.61 | 0.59 | 0.64 | 0.60 | 0.61 | 0.66 | 0.59 | 0.66 |
| 5 | 0.64 | 0.62 | 0.59 | 0.61 | 1.00 | 0.59 | 0.65 | 0.61 | 0.65 | 0.65 | 0.63 | 0.60 |
| 6 | 0.62 | 0.62 | 0.63 | 0.59 | 0.59 | 1.00 | 0.64 | 0.61 | 0.62 | 0.62 | 0.62 | 0.66 |
| 7 | 0.69 | 0.65 | 0.62 | 0.64 | 0.65 | 0.64 | 1.00 | 0.62 | 0.66 | 0.63 | 0.64 | 0.64 |
| 8 | 0.65 | 0.63 | 0.59 | 0.60 | 0.61 | 0.61 | 0.62 | 1.00 | 0.62 | 0.60 | 0.71 | 0.63 |
| 9 | 0.67 | 0.68 | 0.59 | 0.61 | 0.65 | 0.62 | 0.66 | 0.62 | 1.00 | 0.64 | 0.62 | 0.64 |
| 10 | 0.64 | 0.69 | 0.61 | 0.66 | 0.65 | 0.62 | 0.63 | 0.60 | 0.64 | 1.00 | 0.64 | 0.63 |
| 11 | 0.66 | 0.65 | 0.58 | 0.59 | 0.63 | 0.62 | 0.64 | 0.71 | 0.62 | 0.64 | 1.00 | 0.61 |
| 12 | 0.63 | 0.66 | 0.70 | 0.66 | 0.60 | 0.66 | 0.64 | 0.63 | 0.64 | 0.63 | 0.61 | 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