| Project Name | 123 |
| Project Name | 123 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.0 | 151.7 | 150.1 | 122.9 | 108.2 | 102.7 | 94.6 | 91.1 | 82.9 | 78.5 | 74.0 | 64.7 |
| Cluster size | 238 | 245 | 225 | 223 | 137 | 192 | 184 | 108 | 111 | 123 | 131 | 83 |
| Average cluster RMSD | 1.5 | 1.6 | 1.5 | 1.8 | 1.3 | 1.9 | 1.9 | 1.2 | 1.3 | 1.6 | 1.8 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.76 | 2.83 | 3.27 | 3.06 | 3.63 | 3.85 | 3.68 | 4.26 | 3.44 | 2.56 | 3.00 | 4.14 |
| GDT_TS | 0.67 | 0.64 | 0.70 | 0.69 | 0.66 | 0.65 | 0.64 | 0.66 | 0.64 | 0.71 | 0.68 | 0.65 |
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 | 2.70 | 3.49 | 2.88 | 2.86 | 3.30 | 2.53 | 3.31 | 2.91 | 2.41 | 3.34 | 3.73 |
| 2 | 2.70 | 0.00 | 2.55 | 2.59 | 3.78 | 3.64 | 3.14 | 4.34 | 3.25 | 2.39 | 2.52 | 3.15 |
| 3 | 3.49 | 2.55 | 0.00 | 2.41 | 4.08 | 3.57 | 3.32 | 4.44 | 3.38 | 2.89 | 2.31 | 2.83 |
| 4 | 2.88 | 2.59 | 2.41 | 0.00 | 3.11 | 2.72 | 2.77 | 3.58 | 2.63 | 2.27 | 2.47 | 3.04 |
| 5 | 2.86 | 3.78 | 4.08 | 3.11 | 0.00 | 2.50 | 2.94 | 2.41 | 2.74 | 3.51 | 4.30 | 3.53 |
| 6 | 3.30 | 3.64 | 3.57 | 2.72 | 2.50 | 0.00 | 2.86 | 3.06 | 3.10 | 3.33 | 4.00 | 3.25 |
| 7 | 2.53 | 3.14 | 3.32 | 2.77 | 2.94 | 2.86 | 0.00 | 3.00 | 2.81 | 3.07 | 3.77 | 2.89 |
| 8 | 3.31 | 4.34 | 4.44 | 3.58 | 2.41 | 3.06 | 3.00 | 0.00 | 2.83 | 3.91 | 4.92 | 3.92 |
| 9 | 2.91 | 3.25 | 3.38 | 2.63 | 2.74 | 3.10 | 2.81 | 2.83 | 0.00 | 2.92 | 3.46 | 3.64 |
| 10 | 2.41 | 2.39 | 2.89 | 2.27 | 3.51 | 3.33 | 3.07 | 3.91 | 2.92 | 0.00 | 2.50 | 3.79 |
| 11 | 3.34 | 2.52 | 2.31 | 2.47 | 4.30 | 4.00 | 3.77 | 4.92 | 3.46 | 2.50 | 0.00 | 3.68 |
| 12 | 3.73 | 3.15 | 2.83 | 3.04 | 3.53 | 3.25 | 2.89 | 3.92 | 3.64 | 3.79 | 3.68 | 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 | 0.71 | 0.73 | 0.67 | 0.62 | 0.78 | 0.69 | 0.67 | 0.77 | 0.72 | 0.68 |
| 2 | 0.72 | 1.00 | 0.68 | 0.68 | 0.65 | 0.62 | 0.73 | 0.65 | 0.66 | 0.72 | 0.69 | 0.72 |
| 3 | 0.71 | 0.68 | 1.00 | 0.77 | 0.67 | 0.66 | 0.72 | 0.71 | 0.69 | 0.76 | 0.77 | 0.69 |
| 4 | 0.73 | 0.68 | 0.77 | 1.00 | 0.71 | 0.69 | 0.70 | 0.73 | 0.70 | 0.75 | 0.78 | 0.70 |
| 5 | 0.67 | 0.65 | 0.67 | 0.71 | 1.00 | 0.73 | 0.66 | 0.72 | 0.70 | 0.66 | 0.66 | 0.70 |
| 6 | 0.62 | 0.62 | 0.66 | 0.69 | 0.73 | 1.00 | 0.64 | 0.65 | 0.66 | 0.64 | 0.64 | 0.67 |
| 7 | 0.78 | 0.73 | 0.72 | 0.70 | 0.66 | 0.64 | 1.00 | 0.68 | 0.69 | 0.72 | 0.70 | 0.72 |
| 8 | 0.69 | 0.65 | 0.71 | 0.73 | 0.72 | 0.65 | 0.68 | 1.00 | 0.77 | 0.71 | 0.70 | 0.64 |
| 9 | 0.67 | 0.66 | 0.69 | 0.70 | 0.70 | 0.66 | 0.69 | 0.77 | 1.00 | 0.68 | 0.68 | 0.66 |
| 10 | 0.77 | 0.72 | 0.76 | 0.75 | 0.66 | 0.64 | 0.72 | 0.71 | 0.68 | 1.00 | 0.76 | 0.69 |
| 11 | 0.72 | 0.69 | 0.77 | 0.78 | 0.66 | 0.64 | 0.70 | 0.70 | 0.68 | 0.76 | 1.00 | 0.71 |
| 12 | 0.68 | 0.72 | 0.69 | 0.70 | 0.70 | 0.67 | 0.72 | 0.64 | 0.66 | 0.69 | 0.71 | 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