| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 160.5 | 130.7 | 130.2 | 125.5 | 125.5 | 109.6 | 106.7 | 102.9 | 99.2 | 95.4 | 88.7 | 79.2 |
| Cluster size | 222 | 190 | 214 | 182 | 201 | 146 | 163 | 156 | 158 | 131 | 125 | 112 |
| Average cluster RMSD | 1.4 | 1.5 | 1.6 | 1.4 | 1.6 | 1.3 | 1.5 | 1.5 | 1.6 | 1.4 | 1.4 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.89 | 2.65 | 2.71 | 2.43 | 2.67 | 2.98 | 2.62 | 2.75 | 2.46 | 2.49 | 2.81 | 2.92 |
| GDT_TS | 0.61 | 0.65 | 0.62 | 0.65 | 0.64 | 0.63 | 0.64 | 0.62 | 0.66 | 0.66 | 0.60 | 0.62 |
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 | 2.24 | 2.26 | 3.19 | 2.56 | 2.73 | 3.36 | 3.29 | 2.81 | 2.55 | 3.54 | 3.49 |
| 2 | 2.24 | 0.00 | 2.23 | 2.60 | 2.74 | 2.56 | 2.63 | 3.09 | 2.59 | 2.18 | 3.04 | 2.90 |
| 3 | 2.26 | 2.23 | 0.00 | 2.71 | 1.95 | 2.94 | 3.25 | 2.78 | 2.22 | 2.40 | 3.43 | 3.57 |
| 4 | 3.19 | 2.60 | 2.71 | 0.00 | 2.76 | 2.59 | 2.55 | 2.56 | 2.61 | 2.76 | 2.76 | 2.99 |
| 5 | 2.56 | 2.74 | 1.95 | 2.76 | 0.00 | 3.07 | 3.57 | 2.71 | 2.33 | 2.55 | 3.50 | 3.74 |
| 6 | 2.73 | 2.56 | 2.94 | 2.59 | 3.07 | 0.00 | 3.06 | 3.48 | 3.14 | 2.99 | 3.08 | 3.09 |
| 7 | 3.36 | 2.63 | 3.25 | 2.55 | 3.57 | 3.06 | 0.00 | 2.90 | 3.20 | 3.03 | 2.27 | 2.80 |
| 8 | 3.29 | 3.09 | 2.78 | 2.56 | 2.71 | 3.48 | 2.90 | 0.00 | 2.23 | 3.04 | 3.33 | 3.91 |
| 9 | 2.81 | 2.59 | 2.22 | 2.61 | 2.33 | 3.14 | 3.20 | 2.23 | 0.00 | 2.58 | 3.56 | 3.48 |
| 10 | 2.55 | 2.18 | 2.40 | 2.76 | 2.55 | 2.99 | 3.03 | 3.04 | 2.58 | 0.00 | 2.87 | 3.02 |
| 11 | 3.54 | 3.04 | 3.43 | 2.76 | 3.50 | 3.08 | 2.27 | 3.33 | 3.56 | 2.87 | 0.00 | 2.84 |
| 12 | 3.49 | 2.90 | 3.57 | 2.99 | 3.74 | 3.09 | 2.80 | 3.91 | 3.48 | 3.02 | 2.84 | 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 | 0.72 | 0.61 | 0.68 | 0.66 | 0.61 | 0.61 | 0.64 | 0.70 | 0.56 | 0.60 |
| 2 | 0.72 | 1.00 | 0.71 | 0.67 | 0.67 | 0.68 | 0.68 | 0.66 | 0.68 | 0.71 | 0.61 | 0.62 |
| 3 | 0.72 | 0.71 | 1.00 | 0.66 | 0.74 | 0.67 | 0.63 | 0.68 | 0.73 | 0.70 | 0.61 | 0.58 |
| 4 | 0.61 | 0.67 | 0.66 | 1.00 | 0.67 | 0.66 | 0.67 | 0.66 | 0.67 | 0.66 | 0.63 | 0.62 |
| 5 | 0.68 | 0.67 | 0.74 | 0.67 | 1.00 | 0.63 | 0.60 | 0.68 | 0.70 | 0.66 | 0.58 | 0.57 |
| 6 | 0.66 | 0.68 | 0.67 | 0.66 | 0.63 | 1.00 | 0.62 | 0.57 | 0.65 | 0.68 | 0.62 | 0.64 |
| 7 | 0.61 | 0.68 | 0.63 | 0.67 | 0.60 | 0.62 | 1.00 | 0.65 | 0.61 | 0.61 | 0.69 | 0.66 |
| 8 | 0.61 | 0.66 | 0.68 | 0.66 | 0.68 | 0.57 | 0.65 | 1.00 | 0.70 | 0.64 | 0.56 | 0.55 |
| 9 | 0.64 | 0.68 | 0.73 | 0.67 | 0.70 | 0.65 | 0.61 | 0.70 | 1.00 | 0.65 | 0.58 | 0.58 |
| 10 | 0.70 | 0.71 | 0.70 | 0.66 | 0.66 | 0.68 | 0.61 | 0.64 | 0.65 | 1.00 | 0.64 | 0.60 |
| 11 | 0.56 | 0.61 | 0.61 | 0.63 | 0.58 | 0.62 | 0.69 | 0.56 | 0.58 | 0.64 | 1.00 | 0.61 |
| 12 | 0.60 | 0.62 | 0.58 | 0.62 | 0.57 | 0.64 | 0.66 | 0.55 | 0.58 | 0.60 | 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