| Project Name | individualC |
| Project Name | individualC |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 179.3 | 153.6 | 126.5 | 122.9 | 118.0 | 102.3 | 85.9 | 60.5 | 45.3 | 41.6 | 39.5 | 17.9 |
| Cluster size | 354 | 288 | 250 | 200 | 242 | 204 | 104 | 67 | 88 | 87 | 86 | 30 |
| Average cluster RMSD | 2.0 | 1.9 | 2.0 | 1.6 | 2.1 | 2.0 | 1.2 | 1.1 | 1.9 | 2.1 | 2.2 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.47 | 5.60 | 4.97 | 5.04 | 5.49 | 5.30 | 4.38 | 3.88 | 5.53 | 5.03 | 5.63 | 4.15 |
| GDT_TS | 0.50 | 0.49 | 0.49 | 0.52 | 0.47 | 0.49 | 0.55 | 0.61 | 0.49 | 0.48 | 0.53 | 0.59 |
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 | 1.32 | 1.63 | 1.59 | 1.75 | 1.20 | 5.42 | 4.19 | 0.80 | 1.88 | 0.90 | 4.69 |
| 2 | 1.32 | 0.00 | 1.35 | 1.57 | 1.72 | 1.86 | 5.86 | 4.34 | 1.15 | 1.27 | 1.46 | 4.99 |
| 3 | 1.63 | 1.35 | 0.00 | 1.43 | 1.64 | 1.87 | 5.27 | 3.85 | 1.66 | 1.14 | 1.81 | 4.62 |
| 4 | 1.59 | 1.57 | 1.43 | 0.00 | 2.35 | 2.12 | 5.45 | 4.26 | 1.81 | 1.50 | 1.92 | 4.92 |
| 5 | 1.75 | 1.72 | 1.64 | 2.35 | 0.00 | 1.64 | 5.12 | 4.11 | 1.81 | 1.93 | 1.63 | 4.67 |
| 6 | 1.20 | 1.86 | 1.87 | 2.12 | 1.64 | 0.00 | 5.19 | 4.44 | 1.40 | 2.19 | 1.40 | 4.83 |
| 7 | 5.42 | 5.86 | 5.27 | 5.45 | 5.12 | 5.19 | 0.00 | 4.83 | 5.58 | 5.71 | 5.44 | 4.41 |
| 8 | 4.19 | 4.34 | 3.85 | 4.26 | 4.11 | 4.44 | 4.83 | 0.00 | 4.19 | 3.98 | 4.22 | 1.86 |
| 9 | 0.80 | 1.15 | 1.66 | 1.81 | 1.81 | 1.40 | 5.58 | 4.19 | 0.00 | 1.82 | 0.99 | 4.63 |
| 10 | 1.88 | 1.27 | 1.14 | 1.50 | 1.93 | 2.19 | 5.71 | 3.98 | 1.82 | 0.00 | 2.06 | 4.89 |
| 11 | 0.90 | 1.46 | 1.81 | 1.92 | 1.63 | 1.40 | 5.44 | 4.22 | 0.99 | 2.06 | 0.00 | 4.64 |
| 12 | 4.69 | 4.99 | 4.62 | 4.92 | 4.67 | 4.83 | 4.41 | 1.86 | 4.63 | 4.89 | 4.64 | 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 | 0.85 | 0.83 | 0.85 | 0.82 | 0.89 | 0.56 | 0.69 | 0.97 | 0.78 | 0.94 | 0.68 |
| 2 | 0.85 | 1.00 | 0.88 | 0.86 | 0.81 | 0.79 | 0.57 | 0.71 | 0.88 | 0.89 | 0.84 | 0.62 |
| 3 | 0.83 | 0.88 | 1.00 | 0.90 | 0.83 | 0.81 | 0.53 | 0.80 | 0.83 | 0.89 | 0.81 | 0.66 |
| 4 | 0.85 | 0.86 | 0.90 | 1.00 | 0.75 | 0.82 | 0.56 | 0.75 | 0.85 | 0.83 | 0.84 | 0.63 |
| 5 | 0.82 | 0.81 | 0.83 | 0.75 | 1.00 | 0.81 | 0.54 | 0.68 | 0.77 | 0.79 | 0.83 | 0.61 |
| 6 | 0.89 | 0.79 | 0.81 | 0.82 | 0.81 | 1.00 | 0.54 | 0.65 | 0.86 | 0.72 | 0.84 | 0.65 |
| 7 | 0.56 | 0.57 | 0.53 | 0.56 | 0.54 | 0.54 | 1.00 | 0.61 | 0.56 | 0.53 | 0.58 | 0.63 |
| 8 | 0.69 | 0.71 | 0.80 | 0.75 | 0.68 | 0.65 | 0.61 | 1.00 | 0.71 | 0.73 | 0.71 | 0.80 |
| 9 | 0.97 | 0.88 | 0.83 | 0.85 | 0.77 | 0.86 | 0.56 | 0.71 | 1.00 | 0.80 | 0.91 | 0.66 |
| 10 | 0.78 | 0.89 | 0.89 | 0.83 | 0.79 | 0.72 | 0.53 | 0.73 | 0.80 | 1.00 | 0.74 | 0.61 |
| 11 | 0.94 | 0.84 | 0.81 | 0.84 | 0.83 | 0.84 | 0.58 | 0.71 | 0.91 | 0.74 | 1.00 | 0.63 |
| 12 | 0.68 | 0.62 | 0.66 | 0.63 | 0.61 | 0.65 | 0.63 | 0.80 | 0.66 | 0.61 | 0.63 | 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