| Project Name | mc252623 |
| Project Name | mc252623 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 235.4 | 174.6 | 155.5 | 139.6 | 126.4 | 120.9 | 115.4 | 101.6 | 96.3 | 84.4 | 83.7 | 72.1 |
| Cluster size | 334 | 251 | 209 | 190 | 162 | 150 | 154 | 125 | 138 | 104 | 98 | 85 |
| Average cluster RMSD | 1.4 | 1.4 | 1.3 | 1.4 | 1.3 | 1.2 | 1.3 | 1.2 | 1.4 | 1.2 | 1.2 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.63 | 4.25 | 4.10 | 3.97 | 3.82 | 3.94 | 4.11 | 3.73 | 3.99 | 3.90 | 3.96 | 4.24 |
| GDT_TS | 0.58 | 0.56 | 0.57 | 0.56 | 0.56 | 0.54 | 0.54 | 0.58 | 0.61 | 0.56 | 0.55 | 0.52 |
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 | 2.53 | 2.31 | 2.36 | 2.81 | 2.99 | 2.68 | 2.28 | 2.94 | 2.45 | 2.63 | 3.64 |
| 2 | 2.53 | 0.00 | 2.15 | 2.43 | 3.27 | 2.87 | 2.82 | 2.32 | 2.89 | 2.30 | 2.84 | 3.60 |
| 3 | 2.31 | 2.15 | 0.00 | 2.16 | 3.12 | 2.90 | 3.01 | 2.66 | 2.81 | 2.44 | 2.96 | 3.55 |
| 4 | 2.36 | 2.43 | 2.16 | 0.00 | 3.39 | 3.11 | 3.08 | 2.66 | 2.56 | 2.59 | 3.04 | 3.69 |
| 5 | 2.81 | 3.27 | 3.12 | 3.39 | 0.00 | 2.20 | 2.35 | 2.50 | 3.99 | 2.72 | 2.19 | 2.90 |
| 6 | 2.99 | 2.87 | 2.90 | 3.11 | 2.20 | 0.00 | 2.51 | 2.40 | 3.55 | 2.59 | 2.21 | 2.33 |
| 7 | 2.68 | 2.82 | 3.01 | 3.08 | 2.35 | 2.51 | 0.00 | 2.13 | 3.58 | 2.42 | 2.06 | 2.96 |
| 8 | 2.28 | 2.32 | 2.66 | 2.66 | 2.50 | 2.40 | 2.13 | 0.00 | 3.10 | 2.10 | 2.11 | 3.17 |
| 9 | 2.94 | 2.89 | 2.81 | 2.56 | 3.99 | 3.55 | 3.58 | 3.10 | 0.00 | 3.25 | 3.49 | 3.75 |
| 10 | 2.45 | 2.30 | 2.44 | 2.59 | 2.72 | 2.59 | 2.42 | 2.10 | 3.25 | 0.00 | 2.53 | 3.41 |
| 11 | 2.63 | 2.84 | 2.96 | 3.04 | 2.19 | 2.21 | 2.06 | 2.11 | 3.49 | 2.53 | 0.00 | 2.98 |
| 12 | 3.64 | 3.60 | 3.55 | 3.69 | 2.90 | 2.33 | 2.96 | 3.17 | 3.75 | 3.41 | 2.98 | 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 | 0.70 | 0.70 | 0.70 | 0.70 | 0.67 | 0.68 | 0.75 | 0.66 | 0.71 | 0.71 | 0.61 |
| 2 | 0.70 | 1.00 | 0.76 | 0.70 | 0.63 | 0.69 | 0.66 | 0.70 | 0.68 | 0.72 | 0.65 | 0.63 |
| 3 | 0.70 | 0.76 | 1.00 | 0.73 | 0.68 | 0.68 | 0.67 | 0.69 | 0.68 | 0.69 | 0.68 | 0.63 |
| 4 | 0.70 | 0.70 | 0.73 | 1.00 | 0.64 | 0.64 | 0.65 | 0.69 | 0.70 | 0.70 | 0.66 | 0.61 |
| 5 | 0.70 | 0.63 | 0.68 | 0.64 | 1.00 | 0.72 | 0.71 | 0.73 | 0.59 | 0.67 | 0.75 | 0.68 |
| 6 | 0.67 | 0.69 | 0.68 | 0.64 | 0.72 | 1.00 | 0.71 | 0.73 | 0.61 | 0.69 | 0.72 | 0.73 |
| 7 | 0.68 | 0.66 | 0.67 | 0.65 | 0.71 | 0.71 | 1.00 | 0.74 | 0.60 | 0.71 | 0.76 | 0.69 |
| 8 | 0.75 | 0.70 | 0.69 | 0.69 | 0.73 | 0.73 | 0.74 | 1.00 | 0.62 | 0.77 | 0.75 | 0.67 |
| 9 | 0.66 | 0.68 | 0.68 | 0.70 | 0.59 | 0.61 | 0.60 | 0.62 | 1.00 | 0.63 | 0.59 | 0.60 |
| 10 | 0.71 | 0.72 | 0.69 | 0.70 | 0.67 | 0.69 | 0.71 | 0.77 | 0.63 | 1.00 | 0.69 | 0.64 |
| 11 | 0.71 | 0.65 | 0.68 | 0.66 | 0.75 | 0.72 | 0.76 | 0.75 | 0.59 | 0.69 | 1.00 | 0.67 |
| 12 | 0.61 | 0.63 | 0.63 | 0.61 | 0.68 | 0.73 | 0.69 | 0.67 | 0.60 | 0.64 | 0.67 | 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