| Project Name | 128stop |
| Project Name | 128stop |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 251.9 | 214.6 | 205.0 | 203.1 | 191.3 | 166.8 | 142.7 | 125.2 | 107.7 | 86.0 | 74.8 | 66.3 |
| Cluster size | 266 | 233 | 222 | 220 | 223 | 197 | 166 | 165 | 121 | 85 | 56 | 46 |
| Average cluster RMSD | 1.1 | 1.1 | 1.1 | 1.1 | 1.2 | 1.2 | 1.2 | 1.3 | 1.1 | 1.0 | 0.7 | 0.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.02 | 2.95 | 3.20 | 2.66 | 2.71 | 2.50 | 3.70 | 3.06 | 3.48 | 4.12 | 3.16 | 3.85 |
| GDT_TS | 0.67 | 0.70 | 0.65 | 0.73 | 0.73 | 0.74 | 0.58 | 0.66 | 0.63 | 0.57 | 0.74 | 0.66 |
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 | 0.99 | 1.10 | 0.97 | 1.11 | 0.97 | 1.35 | 0.76 | 1.58 | 1.97 | 2.07 | 1.75 |
| 2 | 0.99 | 0.00 | 1.34 | 1.28 | 1.30 | 1.08 | 1.15 | 1.22 | 1.00 | 1.67 | 1.57 | 2.06 |
| 3 | 1.10 | 1.34 | 0.00 | 1.06 | 0.87 | 1.24 | 1.36 | 1.11 | 1.50 | 1.77 | 2.22 | 1.06 |
| 4 | 0.97 | 1.28 | 1.06 | 0.00 | 0.65 | 0.93 | 1.72 | 1.12 | 1.75 | 2.37 | 2.43 | 1.70 |
| 5 | 1.11 | 1.30 | 0.87 | 0.65 | 0.00 | 1.01 | 1.79 | 1.27 | 1.77 | 2.32 | 2.17 | 1.57 |
| 6 | 0.97 | 1.08 | 1.24 | 0.93 | 1.01 | 0.00 | 1.69 | 0.95 | 1.65 | 2.27 | 1.98 | 2.03 |
| 7 | 1.35 | 1.15 | 1.36 | 1.72 | 1.79 | 1.69 | 0.00 | 1.34 | 0.86 | 0.93 | 2.17 | 1.60 |
| 8 | 0.76 | 1.22 | 1.11 | 1.12 | 1.27 | 0.95 | 1.34 | 0.00 | 1.63 | 1.88 | 2.37 | 1.72 |
| 9 | 1.58 | 1.00 | 1.50 | 1.75 | 1.77 | 1.65 | 0.86 | 1.63 | 0.00 | 1.24 | 1.96 | 1.95 |
| 10 | 1.97 | 1.67 | 1.77 | 2.37 | 2.32 | 2.27 | 0.93 | 1.88 | 1.24 | 0.00 | 2.36 | 1.92 |
| 11 | 2.07 | 1.57 | 2.22 | 2.43 | 2.17 | 1.98 | 2.17 | 2.37 | 1.96 | 2.36 | 0.00 | 2.89 |
| 12 | 1.75 | 2.06 | 1.06 | 1.70 | 1.57 | 2.03 | 1.60 | 1.72 | 1.95 | 1.92 | 2.89 | 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 | 0.94 | 0.94 | 0.92 | 0.90 | 0.92 | 0.88 | 0.98 | 0.89 | 0.81 | 0.79 | 0.85 |
| 2 | 0.94 | 1.00 | 0.91 | 0.90 | 0.89 | 0.93 | 0.93 | 0.92 | 0.93 | 0.83 | 0.86 | 0.81 |
| 3 | 0.94 | 0.91 | 1.00 | 0.93 | 0.94 | 0.93 | 0.88 | 0.92 | 0.89 | 0.81 | 0.76 | 0.92 |
| 4 | 0.92 | 0.90 | 0.93 | 1.00 | 0.99 | 0.95 | 0.82 | 0.92 | 0.86 | 0.77 | 0.75 | 0.86 |
| 5 | 0.90 | 0.89 | 0.94 | 0.99 | 1.00 | 0.95 | 0.80 | 0.89 | 0.84 | 0.71 | 0.79 | 0.87 |
| 6 | 0.92 | 0.93 | 0.93 | 0.95 | 0.95 | 1.00 | 0.84 | 0.93 | 0.85 | 0.77 | 0.84 | 0.84 |
| 7 | 0.88 | 0.93 | 0.88 | 0.82 | 0.80 | 0.84 | 1.00 | 0.89 | 0.95 | 0.93 | 0.78 | 0.84 |
| 8 | 0.98 | 0.92 | 0.92 | 0.92 | 0.89 | 0.93 | 0.89 | 1.00 | 0.89 | 0.82 | 0.79 | 0.85 |
| 9 | 0.89 | 0.93 | 0.89 | 0.86 | 0.84 | 0.85 | 0.95 | 0.89 | 1.00 | 0.92 | 0.80 | 0.83 |
| 10 | 0.81 | 0.83 | 0.81 | 0.77 | 0.71 | 0.77 | 0.93 | 0.82 | 0.92 | 1.00 | 0.82 | 0.76 |
| 11 | 0.79 | 0.86 | 0.76 | 0.75 | 0.79 | 0.84 | 0.78 | 0.79 | 0.80 | 0.82 | 1.00 | 0.67 |
| 12 | 0.85 | 0.81 | 0.92 | 0.86 | 0.87 | 0.84 | 0.84 | 0.85 | 0.83 | 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