| Project Name | control4 |
| Project Name | control4 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 157.8 | 150.6 | 149.8 | 139.7 | 131.4 | 130.3 | 130.2 | 125.6 | 81.4 | 71.2 | 49.2 | 46.7 |
| Cluster size | 162 | 253 | 192 | 231 | 190 | 219 | 189 | 194 | 112 | 130 | 69 | 59 |
| Average cluster RMSD | 1.0 | 1.7 | 1.3 | 1.7 | 1.4 | 1.7 | 1.5 | 1.5 | 1.4 | 1.8 | 1.4 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.25 | 4.64 | 4.91 | 4.74 | 4.48 | 4.13 | 4.45 | 4.63 | 4.52 | 5.11 | 4.50 | 4.39 |
| GDT_TS | 0.53 | 0.58 | 0.64 | 0.61 | 0.65 | 0.56 | 0.52 | 0.55 | 0.50 | 0.66 | 0.53 | 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 | 3.47 | 3.16 | 3.06 | 4.06 | 3.38 | 2.52 | 2.76 | 1.11 | 3.08 | 2.71 | 4.95 |
| 2 | 3.47 | 0.00 | 2.46 | 0.96 | 2.78 | 2.32 | 1.83 | 2.33 | 3.22 | 1.48 | 1.69 | 2.12 |
| 3 | 3.16 | 2.46 | 0.00 | 2.23 | 1.74 | 2.66 | 2.60 | 2.87 | 3.22 | 2.43 | 2.38 | 3.09 |
| 4 | 3.06 | 0.96 | 2.23 | 0.00 | 2.93 | 2.48 | 1.85 | 2.34 | 2.82 | 1.38 | 1.58 | 2.70 |
| 5 | 4.06 | 2.78 | 1.74 | 2.93 | 0.00 | 2.89 | 3.21 | 3.32 | 3.96 | 2.86 | 3.03 | 2.53 |
| 6 | 3.38 | 2.32 | 2.66 | 2.48 | 2.89 | 0.00 | 1.45 | 1.43 | 3.19 | 2.84 | 1.22 | 3.43 |
| 7 | 2.52 | 1.83 | 2.60 | 1.85 | 3.21 | 1.45 | 0.00 | 1.40 | 2.28 | 2.46 | 0.79 | 3.34 |
| 8 | 2.76 | 2.33 | 2.87 | 2.34 | 3.32 | 1.43 | 1.40 | 0.00 | 2.59 | 2.54 | 1.29 | 3.84 |
| 9 | 1.11 | 3.22 | 3.22 | 2.82 | 3.96 | 3.19 | 2.28 | 2.59 | 0.00 | 2.96 | 2.53 | 4.72 |
| 10 | 3.08 | 1.48 | 2.43 | 1.38 | 2.86 | 2.84 | 2.46 | 2.54 | 2.96 | 0.00 | 2.19 | 2.81 |
| 11 | 2.71 | 1.69 | 2.38 | 1.58 | 3.03 | 1.22 | 0.79 | 1.29 | 2.53 | 2.19 | 0.00 | 3.27 |
| 12 | 4.95 | 2.12 | 3.09 | 2.70 | 2.53 | 3.43 | 3.34 | 3.84 | 4.72 | 2.81 | 3.27 | 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 | 0.68 | 0.69 | 0.69 | 0.58 | 0.72 | 0.81 | 0.77 | 0.90 | 0.69 | 0.77 | 0.58 |
| 2 | 0.68 | 1.00 | 0.73 | 0.92 | 0.69 | 0.76 | 0.81 | 0.75 | 0.74 | 0.92 | 0.82 | 0.75 |
| 3 | 0.69 | 0.73 | 1.00 | 0.75 | 0.81 | 0.75 | 0.74 | 0.71 | 0.62 | 0.71 | 0.76 | 0.67 |
| 4 | 0.69 | 0.92 | 0.75 | 1.00 | 0.71 | 0.71 | 0.80 | 0.73 | 0.73 | 0.87 | 0.84 | 0.69 |
| 5 | 0.58 | 0.69 | 0.81 | 0.71 | 1.00 | 0.72 | 0.66 | 0.68 | 0.56 | 0.69 | 0.71 | 0.72 |
| 6 | 0.72 | 0.76 | 0.75 | 0.71 | 0.72 | 1.00 | 0.91 | 0.89 | 0.69 | 0.70 | 0.89 | 0.63 |
| 7 | 0.81 | 0.81 | 0.74 | 0.80 | 0.66 | 0.91 | 1.00 | 0.86 | 0.83 | 0.76 | 0.96 | 0.63 |
| 8 | 0.77 | 0.75 | 0.71 | 0.73 | 0.68 | 0.89 | 0.86 | 1.00 | 0.76 | 0.73 | 0.87 | 0.55 |
| 9 | 0.90 | 0.74 | 0.62 | 0.73 | 0.56 | 0.69 | 0.83 | 0.76 | 1.00 | 0.72 | 0.78 | 0.56 |
| 10 | 0.69 | 0.92 | 0.71 | 0.87 | 0.69 | 0.70 | 0.76 | 0.73 | 0.72 | 1.00 | 0.77 | 0.72 |
| 11 | 0.77 | 0.82 | 0.76 | 0.84 | 0.71 | 0.89 | 0.96 | 0.87 | 0.78 | 0.77 | 1.00 | 0.61 |
| 12 | 0.58 | 0.75 | 0.67 | 0.69 | 0.72 | 0.63 | 0.63 | 0.55 | 0.56 | 0.72 | 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