| Project Name | control2 |
| Project Name | control2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 77.1 | 67.0 | 65.3 | 64.1 | 57.8 | 57.1 | 55.7 | 51.3 | 49.4 | 41.9 | 39.8 | 34.9 |
| Cluster size | 229 | 214 | 199 | 163 | 156 | 206 | 193 | 185 | 129 | 142 | 107 | 77 |
| Average cluster RMSD | 3.0 | 3.2 | 3.0 | 2.5 | 2.7 | 3.6 | 3.5 | 3.6 | 2.6 | 3.4 | 2.7 | 2.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.89 | 4.29 | 5.28 | 5.77 | 6.25 | 5.25 | 5.41 | 5.55 | 5.91 | 7.22 | 3.49 | 3.57 |
| GDT_TS | 0.64 | 0.63 | 0.60 | 0.62 | 0.65 | 0.64 | 0.60 | 0.66 | 0.57 | 0.64 | 0.70 | 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 | 4.40 | 3.94 | 3.00 | 3.63 | 4.17 | 4.30 | 4.73 | 2.86 | 5.77 | 4.10 | 4.48 |
| 2 | 4.40 | 0.00 | 2.35 | 3.50 | 4.00 | 3.44 | 2.91 | 4.05 | 4.34 | 6.47 | 3.03 | 3.23 |
| 3 | 3.94 | 2.35 | 0.00 | 2.60 | 3.81 | 3.70 | 2.86 | 4.49 | 3.29 | 6.59 | 3.71 | 3.77 |
| 4 | 3.00 | 3.50 | 2.60 | 0.00 | 3.68 | 3.60 | 3.18 | 4.36 | 2.02 | 6.58 | 3.47 | 4.08 |
| 5 | 3.63 | 4.00 | 3.81 | 3.68 | 0.00 | 2.16 | 2.65 | 2.35 | 4.47 | 4.30 | 4.46 | 4.51 |
| 6 | 4.17 | 3.44 | 3.70 | 3.60 | 2.16 | 0.00 | 2.07 | 1.88 | 4.03 | 4.78 | 3.62 | 3.69 |
| 7 | 4.30 | 2.91 | 2.86 | 3.18 | 2.65 | 2.07 | 0.00 | 3.14 | 3.85 | 5.62 | 3.52 | 3.60 |
| 8 | 4.73 | 4.05 | 4.49 | 4.36 | 2.35 | 1.88 | 3.14 | 0.00 | 5.08 | 4.42 | 4.33 | 4.25 |
| 9 | 2.86 | 4.34 | 3.29 | 2.02 | 4.47 | 4.03 | 3.85 | 5.08 | 0.00 | 6.88 | 3.81 | 4.18 |
| 10 | 5.77 | 6.47 | 6.59 | 6.58 | 4.30 | 4.78 | 5.62 | 4.42 | 6.88 | 0.00 | 6.48 | 5.68 |
| 11 | 4.10 | 3.03 | 3.71 | 3.47 | 4.46 | 3.62 | 3.52 | 4.33 | 3.81 | 6.48 | 0.00 | 2.11 |
| 12 | 4.48 | 3.23 | 3.77 | 4.08 | 4.51 | 3.69 | 3.60 | 4.25 | 4.18 | 5.68 | 2.11 | 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 | 0.67 | 0.70 | 0.82 | 0.83 | 0.82 | 0.81 | 0.83 | 0.80 | 0.59 | 0.67 | 0.61 |
| 2 | 0.67 | 1.00 | 0.78 | 0.73 | 0.74 | 0.72 | 0.74 | 0.71 | 0.64 | 0.57 | 0.64 | 0.62 |
| 3 | 0.70 | 0.78 | 1.00 | 0.71 | 0.74 | 0.74 | 0.77 | 0.72 | 0.70 | 0.53 | 0.63 | 0.59 |
| 4 | 0.82 | 0.73 | 0.71 | 1.00 | 0.83 | 0.81 | 0.79 | 0.79 | 0.78 | 0.59 | 0.69 | 0.58 |
| 5 | 0.83 | 0.74 | 0.74 | 0.83 | 1.00 | 0.86 | 0.89 | 0.82 | 0.74 | 0.59 | 0.69 | 0.62 |
| 6 | 0.82 | 0.72 | 0.74 | 0.81 | 0.86 | 1.00 | 0.84 | 0.89 | 0.76 | 0.62 | 0.74 | 0.67 |
| 7 | 0.81 | 0.74 | 0.77 | 0.79 | 0.89 | 0.84 | 1.00 | 0.79 | 0.69 | 0.57 | 0.69 | 0.62 |
| 8 | 0.83 | 0.71 | 0.72 | 0.79 | 0.82 | 0.89 | 0.79 | 1.00 | 0.77 | 0.65 | 0.73 | 0.68 |
| 9 | 0.80 | 0.64 | 0.70 | 0.78 | 0.74 | 0.76 | 0.69 | 0.77 | 1.00 | 0.55 | 0.62 | 0.58 |
| 10 | 0.59 | 0.57 | 0.53 | 0.59 | 0.59 | 0.62 | 0.57 | 0.65 | 0.55 | 1.00 | 0.66 | 0.80 |
| 11 | 0.67 | 0.64 | 0.63 | 0.69 | 0.69 | 0.74 | 0.69 | 0.73 | 0.62 | 0.66 | 1.00 | 0.80 |
| 12 | 0.61 | 0.62 | 0.59 | 0.58 | 0.62 | 0.67 | 0.62 | 0.68 | 0.58 | 0.80 | 0.80 | 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