| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 130.2 | 118.0 | 108.2 | 106.2 | 105.1 | 103.6 | 93.4 | 89.8 | 85.4 | 64.9 | 55.6 | 40.4 |
| Cluster size | 236 | 206 | 225 | 174 | 203 | 207 | 156 | 140 | 179 | 107 | 89 | 78 |
| Average cluster RMSD | 1.8 | 1.7 | 2.1 | 1.6 | 1.9 | 2.0 | 1.7 | 1.6 | 2.1 | 1.6 | 1.6 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.77 | 5.39 | 6.11 | 5.54 | 4.87 | 5.64 | 4.43 | 5.73 | 6.48 | 6.22 | 5.46 | 5.18 |
| GDT_TS | 0.54 | 0.58 | 0.52 | 0.58 | 0.59 | 0.59 | 0.59 | 0.56 | 0.53 | 0.52 | 0.60 | 0.57 |
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 | 3.76 | 2.38 | 3.50 | 4.21 | 2.98 | 4.20 | 3.89 | 2.44 | 2.46 | 4.05 | 3.48 |
| 2 | 3.76 | 0.00 | 2.90 | 2.79 | 2.28 | 3.49 | 3.04 | 3.09 | 2.85 | 3.38 | 4.01 | 3.06 |
| 3 | 2.38 | 2.90 | 0.00 | 3.06 | 3.37 | 2.81 | 3.59 | 3.58 | 1.98 | 2.31 | 3.90 | 2.82 |
| 4 | 3.50 | 2.79 | 3.06 | 0.00 | 3.26 | 2.81 | 2.55 | 2.47 | 3.13 | 3.24 | 3.11 | 3.45 |
| 5 | 4.21 | 2.28 | 3.37 | 3.26 | 0.00 | 3.66 | 2.86 | 3.22 | 3.56 | 4.03 | 3.82 | 3.57 |
| 6 | 2.98 | 3.49 | 2.81 | 2.81 | 3.66 | 0.00 | 3.20 | 3.54 | 3.31 | 3.14 | 3.38 | 2.68 |
| 7 | 4.20 | 3.04 | 3.59 | 2.55 | 2.86 | 3.20 | 0.00 | 2.55 | 3.99 | 3.92 | 3.16 | 3.47 |
| 8 | 3.89 | 3.09 | 3.58 | 2.47 | 3.22 | 3.54 | 2.55 | 0.00 | 3.52 | 3.85 | 2.68 | 4.18 |
| 9 | 2.44 | 2.85 | 1.98 | 3.13 | 3.56 | 3.31 | 3.99 | 3.52 | 0.00 | 2.29 | 4.18 | 3.30 |
| 10 | 2.46 | 3.38 | 2.31 | 3.24 | 4.03 | 3.14 | 3.92 | 3.85 | 2.29 | 0.00 | 4.41 | 2.70 |
| 11 | 4.05 | 4.01 | 3.90 | 3.11 | 3.82 | 3.38 | 3.16 | 2.68 | 4.18 | 4.41 | 0.00 | 4.44 |
| 12 | 3.48 | 3.06 | 2.82 | 3.45 | 3.57 | 2.68 | 3.47 | 4.18 | 3.30 | 2.70 | 4.44 | 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 | 0.73 | 0.77 | 0.65 | 0.71 | 0.69 | 0.62 | 0.58 | 0.78 | 0.78 | 0.56 | 0.72 |
| 2 | 0.73 | 1.00 | 0.72 | 0.70 | 0.77 | 0.72 | 0.65 | 0.64 | 0.75 | 0.70 | 0.59 | 0.82 |
| 3 | 0.77 | 0.72 | 1.00 | 0.63 | 0.69 | 0.66 | 0.58 | 0.59 | 0.83 | 0.80 | 0.56 | 0.76 |
| 4 | 0.65 | 0.70 | 0.63 | 1.00 | 0.66 | 0.78 | 0.73 | 0.71 | 0.64 | 0.65 | 0.67 | 0.64 |
| 5 | 0.71 | 0.77 | 0.69 | 0.66 | 1.00 | 0.70 | 0.67 | 0.63 | 0.70 | 0.68 | 0.58 | 0.74 |
| 6 | 0.69 | 0.72 | 0.66 | 0.78 | 0.70 | 1.00 | 0.69 | 0.68 | 0.69 | 0.69 | 0.65 | 0.71 |
| 7 | 0.62 | 0.65 | 0.58 | 0.73 | 0.67 | 0.69 | 1.00 | 0.78 | 0.58 | 0.60 | 0.70 | 0.62 |
| 8 | 0.58 | 0.64 | 0.59 | 0.71 | 0.63 | 0.68 | 0.78 | 1.00 | 0.58 | 0.59 | 0.73 | 0.60 |
| 9 | 0.78 | 0.75 | 0.83 | 0.64 | 0.70 | 0.69 | 0.58 | 0.58 | 1.00 | 0.80 | 0.55 | 0.76 |
| 10 | 0.78 | 0.70 | 0.80 | 0.65 | 0.68 | 0.69 | 0.60 | 0.59 | 0.80 | 1.00 | 0.55 | 0.74 |
| 11 | 0.56 | 0.59 | 0.56 | 0.67 | 0.58 | 0.65 | 0.70 | 0.73 | 0.55 | 0.55 | 1.00 | 0.56 |
| 12 | 0.72 | 0.82 | 0.76 | 0.64 | 0.74 | 0.71 | 0.62 | 0.60 | 0.76 | 0.74 | 0.56 | 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