| Project Name | Group15_Control |
| Project Name | Group15_Control |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 179.0 | 156.2 | 117.1 | 114.7 | 111.2 | 111.1 | 79.5 | 79.4 | 78.3 | 60.2 | 39.5 | 28.0 |
| Cluster size | 315 | 273 | 240 | 156 | 231 | 207 | 128 | 140 | 80 | 74 | 90 | 66 |
| Average cluster RMSD | 1.8 | 1.7 | 2.0 | 1.4 | 2.1 | 1.9 | 1.6 | 1.8 | 1.0 | 1.2 | 2.3 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.28 | 4.50 | 4.53 | 4.52 | 4.54 | 4.89 | 3.99 | 5.20 | 4.58 | 5.86 | 4.23 | 4.05 |
| GDT_TS | 0.52 | 0.47 | 0.48 | 0.48 | 0.63 | 0.55 | 0.51 | 0.55 | 0.56 | 0.58 | 0.47 | 0.50 |
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 | 1.54 | 1.57 | 2.03 | 4.58 | 3.69 | 1.51 | 3.57 | 5.21 | 3.91 | 1.47 | 2.10 |
| 2 | 1.54 | 0.00 | 1.52 | 1.39 | 4.96 | 4.10 | 1.54 | 3.79 | 5.43 | 4.34 | 1.72 | 2.24 |
| 3 | 1.57 | 1.52 | 0.00 | 2.26 | 4.36 | 3.39 | 1.37 | 3.22 | 5.11 | 3.85 | 1.96 | 2.12 |
| 4 | 2.03 | 1.39 | 2.26 | 0.00 | 5.17 | 4.55 | 2.15 | 4.52 | 5.28 | 4.96 | 1.98 | 2.76 |
| 5 | 4.58 | 4.96 | 4.36 | 5.17 | 0.00 | 1.33 | 4.57 | 1.90 | 2.04 | 2.64 | 4.36 | 4.33 |
| 6 | 3.69 | 4.10 | 3.39 | 4.55 | 1.33 | 0.00 | 3.75 | 1.09 | 2.88 | 2.18 | 3.57 | 3.52 |
| 7 | 1.51 | 1.54 | 1.37 | 2.15 | 4.57 | 3.75 | 0.00 | 3.43 | 5.16 | 3.65 | 1.41 | 1.36 |
| 8 | 3.57 | 3.79 | 3.22 | 4.52 | 1.90 | 1.09 | 3.43 | 0.00 | 3.40 | 1.94 | 3.33 | 3.14 |
| 9 | 5.21 | 5.43 | 5.11 | 5.28 | 2.04 | 2.88 | 5.16 | 3.40 | 0.00 | 3.86 | 4.81 | 4.95 |
| 10 | 3.91 | 4.34 | 3.85 | 4.96 | 2.64 | 2.18 | 3.65 | 1.94 | 3.86 | 0.00 | 3.64 | 3.11 |
| 11 | 1.47 | 1.72 | 1.96 | 1.98 | 4.36 | 3.57 | 1.41 | 3.33 | 4.81 | 3.64 | 0.00 | 1.64 |
| 12 | 2.10 | 2.24 | 2.12 | 2.76 | 4.33 | 3.52 | 1.36 | 3.14 | 4.95 | 3.11 | 1.64 | 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 | 0.81 | 0.84 | 0.77 | 0.52 | 0.62 | 0.83 | 0.67 | 0.49 | 0.59 | 0.87 | 0.75 |
| 2 | 0.81 | 1.00 | 0.85 | 0.86 | 0.55 | 0.64 | 0.84 | 0.63 | 0.48 | 0.57 | 0.82 | 0.76 |
| 3 | 0.84 | 0.85 | 1.00 | 0.85 | 0.53 | 0.65 | 0.86 | 0.65 | 0.51 | 0.64 | 0.77 | 0.79 |
| 4 | 0.77 | 0.86 | 0.85 | 1.00 | 0.53 | 0.60 | 0.79 | 0.59 | 0.46 | 0.57 | 0.76 | 0.72 |
| 5 | 0.52 | 0.55 | 0.53 | 0.53 | 1.00 | 0.87 | 0.54 | 0.82 | 0.78 | 0.77 | 0.57 | 0.58 |
| 6 | 0.62 | 0.64 | 0.65 | 0.60 | 0.87 | 1.00 | 0.65 | 0.90 | 0.70 | 0.81 | 0.67 | 0.66 |
| 7 | 0.83 | 0.84 | 0.86 | 0.79 | 0.54 | 0.65 | 1.00 | 0.63 | 0.49 | 0.63 | 0.86 | 0.89 |
| 8 | 0.67 | 0.63 | 0.65 | 0.59 | 0.82 | 0.90 | 0.63 | 1.00 | 0.67 | 0.82 | 0.70 | 0.67 |
| 9 | 0.49 | 0.48 | 0.51 | 0.46 | 0.78 | 0.70 | 0.49 | 0.67 | 1.00 | 0.66 | 0.52 | 0.51 |
| 10 | 0.59 | 0.57 | 0.64 | 0.57 | 0.77 | 0.81 | 0.63 | 0.82 | 0.66 | 1.00 | 0.68 | 0.69 |
| 11 | 0.87 | 0.82 | 0.77 | 0.76 | 0.57 | 0.67 | 0.86 | 0.70 | 0.52 | 0.68 | 1.00 | 0.84 |
| 12 | 0.75 | 0.76 | 0.79 | 0.72 | 0.58 | 0.66 | 0.89 | 0.67 | 0.51 | 0.69 | 0.84 | 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