| Project Name | 4 |
| Project Name | 4 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 449.0 | 432.7 | 429.2 | 380.9 | 345.0 | 335.5 | 142.1 | 70.9 | 65.8 | 52.6 | 42.3 | 38.1 |
| Cluster size | 309 | 295 | 314 | 250 | 244 | 245 | 118 | 61 | 59 | 40 | 36 | 29 |
| Average cluster RMSD | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.8 | 0.9 | 0.9 | 0.8 | 0.9 | 0.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.09 | 2.21 | 2.15 | 2.17 | 2.08 | 2.27 | 2.14 | 1.89 | 3.90 | 4.66 | 2.87 | 2.56 |
| GDT_TS | 0.81 | 0.79 | 0.81 | 0.82 | 0.82 | 0.79 | 0.80 | 0.85 | 0.69 | 0.64 | 0.76 | 0.78 |
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 | 0.54 | 0.47 | 0.52 | 0.54 | 0.61 | 0.68 | 1.14 | 3.62 | 4.75 | 2.39 | 1.61 |
| 2 | 0.54 | 0.00 | 0.54 | 0.41 | 0.59 | 0.48 | 0.51 | 1.15 | 3.42 | 4.69 | 2.15 | 1.39 |
| 3 | 0.47 | 0.54 | 0.00 | 0.48 | 0.61 | 0.59 | 0.73 | 1.22 | 3.49 | 4.70 | 2.33 | 1.58 |
| 4 | 0.52 | 0.41 | 0.48 | 0.00 | 0.57 | 0.39 | 0.50 | 1.25 | 3.36 | 4.61 | 2.08 | 1.50 |
| 5 | 0.54 | 0.59 | 0.61 | 0.57 | 0.00 | 0.65 | 0.53 | 0.99 | 3.69 | 4.90 | 2.39 | 1.57 |
| 6 | 0.61 | 0.48 | 0.59 | 0.39 | 0.65 | 0.00 | 0.58 | 1.38 | 3.24 | 4.46 | 1.99 | 1.46 |
| 7 | 0.68 | 0.51 | 0.73 | 0.50 | 0.53 | 0.58 | 0.00 | 1.09 | 3.54 | 4.80 | 2.18 | 1.49 |
| 8 | 1.14 | 1.15 | 1.22 | 1.25 | 0.99 | 1.38 | 1.09 | 0.00 | 4.07 | 5.27 | 2.79 | 1.84 |
| 9 | 3.62 | 3.42 | 3.49 | 3.36 | 3.69 | 3.24 | 3.54 | 4.07 | 0.00 | 1.78 | 1.75 | 3.27 |
| 10 | 4.75 | 4.69 | 4.70 | 4.61 | 4.90 | 4.46 | 4.80 | 5.27 | 1.78 | 0.00 | 3.03 | 4.54 |
| 11 | 2.39 | 2.15 | 2.33 | 2.08 | 2.39 | 1.99 | 2.18 | 2.79 | 1.75 | 3.03 | 0.00 | 2.16 |
| 12 | 1.61 | 1.39 | 1.58 | 1.50 | 1.57 | 1.46 | 1.49 | 1.84 | 3.27 | 4.54 | 2.16 | 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 | 0.99 | 1.00 | 1.00 | 0.99 | 0.97 | 0.99 | 0.97 | 0.71 | 0.65 | 0.80 | 0.96 |
| 2 | 0.99 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 0.99 | 0.97 | 0.71 | 0.64 | 0.80 | 0.96 |
| 3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.99 | 0.99 | 0.99 | 0.97 | 0.74 | 0.64 | 0.81 | 0.95 |
| 4 | 1.00 | 1.00 | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | 0.96 | 0.72 | 0.65 | 0.81 | 0.95 |
| 5 | 0.99 | 1.00 | 0.99 | 0.99 | 1.00 | 0.99 | 0.99 | 0.97 | 0.70 | 0.62 | 0.79 | 0.96 |
| 6 | 0.97 | 1.00 | 0.99 | 1.00 | 0.99 | 1.00 | 0.99 | 0.95 | 0.74 | 0.64 | 0.84 | 0.95 |
| 7 | 0.99 | 0.99 | 0.99 | 1.00 | 0.99 | 0.99 | 1.00 | 0.96 | 0.70 | 0.62 | 0.81 | 0.96 |
| 8 | 0.97 | 0.97 | 0.97 | 0.96 | 0.97 | 0.95 | 0.96 | 1.00 | 0.66 | 0.60 | 0.78 | 0.94 |
| 9 | 0.71 | 0.71 | 0.74 | 0.72 | 0.70 | 0.74 | 0.70 | 0.66 | 1.00 | 0.84 | 0.84 | 0.71 |
| 10 | 0.65 | 0.64 | 0.64 | 0.65 | 0.62 | 0.64 | 0.62 | 0.60 | 0.84 | 1.00 | 0.72 | 0.64 |
| 11 | 0.80 | 0.80 | 0.81 | 0.81 | 0.79 | 0.84 | 0.81 | 0.78 | 0.84 | 0.72 | 1.00 | 0.79 |
| 12 | 0.96 | 0.96 | 0.95 | 0.95 | 0.96 | 0.95 | 0.96 | 0.94 | 0.71 | 0.64 | 0.79 | 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