| Project Name | WildType |
| Project Name | WildType |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 134.4 | 96.6 | 80.3 | 74.1 | 65.4 | 55.5 | 49.1 | 42.2 | 35.7 | 30.5 | 30.2 | 28.1 |
| Cluster size | 319 | 239 | 193 | 216 | 196 | 187 | 156 | 133 | 103 | 105 | 87 | 66 |
| Average cluster RMSD | 2.4 | 2.5 | 2.4 | 2.9 | 3.0 | 3.4 | 3.2 | 3.1 | 2.9 | 3.4 | 2.9 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.97 | 3.76 | 3.73 | 4.26 | 3.61 | 5.92 | 4.14 | 4.18 | 7.48 | 6.14 | 7.65 | 4.42 |
| GDT_TS | 0.63 | 0.65 | 0.66 | 0.63 | 0.66 | 0.54 | 0.64 | 0.64 | 0.53 | 0.62 | 0.55 | 0.62 |
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 | 2.46 | 2.26 | 3.22 | 3.60 | 3.70 | 3.49 | 4.36 | 5.72 | 4.49 | 5.86 | 2.20 |
| 2 | 2.46 | 0.00 | 1.24 | 2.95 | 2.94 | 3.75 | 2.92 | 3.35 | 5.37 | 4.49 | 6.36 | 2.18 |
| 3 | 2.26 | 1.24 | 0.00 | 3.10 | 2.90 | 4.05 | 3.17 | 3.53 | 5.68 | 4.88 | 6.79 | 1.60 |
| 4 | 3.22 | 2.95 | 3.10 | 0.00 | 1.73 | 3.90 | 1.22 | 2.65 | 6.18 | 4.08 | 6.41 | 3.50 |
| 5 | 3.60 | 2.94 | 2.90 | 1.73 | 0.00 | 4.26 | 1.75 | 1.93 | 6.15 | 4.43 | 7.00 | 3.44 |
| 6 | 3.70 | 3.75 | 4.05 | 3.90 | 4.26 | 0.00 | 3.74 | 4.94 | 4.39 | 2.43 | 4.29 | 4.40 |
| 7 | 3.49 | 2.92 | 3.17 | 1.22 | 1.75 | 3.74 | 0.00 | 2.52 | 5.99 | 3.73 | 6.31 | 3.85 |
| 8 | 4.36 | 3.35 | 3.53 | 2.65 | 1.93 | 4.94 | 2.52 | 0.00 | 5.67 | 4.96 | 6.82 | 4.21 |
| 9 | 5.72 | 5.37 | 5.68 | 6.18 | 6.15 | 4.39 | 5.99 | 5.67 | 0.00 | 3.87 | 4.60 | 6.09 |
| 10 | 4.49 | 4.49 | 4.88 | 4.08 | 4.43 | 2.43 | 3.73 | 4.96 | 3.87 | 0.00 | 3.97 | 5.35 |
| 11 | 5.86 | 6.36 | 6.79 | 6.41 | 7.00 | 4.29 | 6.31 | 6.82 | 4.60 | 3.97 | 0.00 | 7.21 |
| 12 | 2.20 | 2.18 | 1.60 | 3.50 | 3.44 | 4.40 | 3.85 | 4.21 | 6.09 | 5.35 | 7.21 | 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 | 0.78 | 0.82 | 0.79 | 0.72 | 0.73 | 0.75 | 0.64 | 0.52 | 0.69 | 0.74 | 0.85 |
| 2 | 0.78 | 1.00 | 0.96 | 0.79 | 0.82 | 0.75 | 0.83 | 0.77 | 0.56 | 0.76 | 0.65 | 0.83 |
| 3 | 0.82 | 0.96 | 1.00 | 0.78 | 0.83 | 0.80 | 0.84 | 0.74 | 0.58 | 0.79 | 0.66 | 0.87 |
| 4 | 0.79 | 0.79 | 0.78 | 1.00 | 0.87 | 0.79 | 0.92 | 0.74 | 0.55 | 0.72 | 0.71 | 0.80 |
| 5 | 0.72 | 0.82 | 0.83 | 0.87 | 1.00 | 0.80 | 0.88 | 0.82 | 0.58 | 0.79 | 0.69 | 0.81 |
| 6 | 0.73 | 0.75 | 0.80 | 0.79 | 0.80 | 1.00 | 0.77 | 0.70 | 0.57 | 0.81 | 0.70 | 0.80 |
| 7 | 0.75 | 0.83 | 0.84 | 0.92 | 0.88 | 0.77 | 1.00 | 0.80 | 0.57 | 0.81 | 0.70 | 0.79 |
| 8 | 0.64 | 0.77 | 0.74 | 0.74 | 0.82 | 0.70 | 0.80 | 1.00 | 0.64 | 0.77 | 0.62 | 0.70 |
| 9 | 0.52 | 0.56 | 0.58 | 0.55 | 0.58 | 0.57 | 0.57 | 0.64 | 1.00 | 0.64 | 0.53 | 0.57 |
| 10 | 0.69 | 0.76 | 0.79 | 0.72 | 0.79 | 0.81 | 0.81 | 0.77 | 0.64 | 1.00 | 0.66 | 0.76 |
| 11 | 0.74 | 0.65 | 0.66 | 0.71 | 0.69 | 0.70 | 0.70 | 0.62 | 0.53 | 0.66 | 1.00 | 0.67 |
| 12 | 0.85 | 0.83 | 0.87 | 0.80 | 0.81 | 0.80 | 0.79 | 0.70 | 0.57 | 0.76 | 0.67 | 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