| Project Name | 7 |
| Project Name | 7 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 217.3 | 205.9 | 197.2 | 195.7 | 191.5 | 186.8 | 131.4 | 109.5 | 103.9 | 101.8 | 93.4 | 86.5 |
| Cluster size | 240 | 234 | 241 | 160 | 208 | 215 | 143 | 107 | 135 | 104 | 109 | 104 |
| Average cluster RMSD | 1.1 | 1.1 | 1.2 | 0.8 | 1.1 | 1.2 | 1.1 | 1.0 | 1.3 | 1.0 | 1.2 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.07 | 5.06 | 4.51 | 3.80 | 5.47 | 4.61 | 3.81 | 3.99 | 3.70 | 4.18 | 3.89 | 3.95 |
| GDT_TS | 0.69 | 0.70 | 0.68 | 0.71 | 0.69 | 0.69 | 0.71 | 0.70 | 0.73 | 0.71 | 0.72 | 0.72 |
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 | 1.36 | 1.47 | 4.20 | 0.93 | 1.40 | 4.35 | 1.93 | 3.99 | 4.17 | 2.32 | 2.90 |
| 2 | 1.36 | 0.00 | 2.07 | 4.46 | 1.38 | 1.32 | 4.69 | 1.97 | 4.38 | 4.64 | 2.55 | 3.36 |
| 3 | 1.47 | 2.07 | 0.00 | 3.35 | 1.95 | 1.41 | 3.43 | 1.17 | 2.82 | 3.25 | 1.61 | 1.86 |
| 4 | 4.20 | 4.46 | 3.35 | 0.00 | 4.60 | 3.74 | 0.81 | 2.96 | 2.52 | 3.49 | 2.78 | 2.59 |
| 5 | 0.93 | 1.38 | 1.95 | 4.60 | 0.00 | 1.78 | 4.78 | 2.40 | 4.52 | 4.60 | 2.84 | 3.27 |
| 6 | 1.40 | 1.32 | 1.41 | 3.74 | 1.78 | 0.00 | 3.95 | 1.53 | 3.53 | 3.90 | 1.78 | 2.73 |
| 7 | 4.35 | 4.69 | 3.43 | 0.81 | 4.78 | 3.95 | 0.00 | 3.10 | 2.23 | 3.25 | 2.86 | 2.42 |
| 8 | 1.93 | 1.97 | 1.17 | 2.96 | 2.40 | 1.53 | 3.10 | 0.00 | 2.71 | 3.42 | 1.50 | 1.86 |
| 9 | 3.99 | 4.38 | 2.82 | 2.52 | 4.52 | 3.53 | 2.23 | 2.71 | 0.00 | 1.92 | 2.62 | 1.71 |
| 10 | 4.17 | 4.64 | 3.25 | 3.49 | 4.60 | 3.90 | 3.25 | 3.42 | 1.92 | 0.00 | 3.38 | 2.50 |
| 11 | 2.32 | 2.55 | 1.61 | 2.78 | 2.84 | 1.78 | 2.86 | 1.50 | 2.62 | 3.38 | 0.00 | 2.06 |
| 12 | 2.90 | 3.36 | 1.86 | 2.59 | 3.27 | 2.73 | 2.42 | 1.86 | 1.71 | 2.50 | 2.06 | 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 | 0.89 | 0.87 | 0.74 | 0.94 | 0.89 | 0.73 | 0.82 | 0.76 | 0.79 | 0.79 | 0.80 |
| 2 | 0.89 | 1.00 | 0.84 | 0.70 | 0.88 | 0.87 | 0.71 | 0.84 | 0.77 | 0.77 | 0.81 | 0.82 |
| 3 | 0.87 | 0.84 | 1.00 | 0.74 | 0.86 | 0.91 | 0.74 | 0.92 | 0.78 | 0.80 | 0.90 | 0.85 |
| 4 | 0.74 | 0.70 | 0.74 | 1.00 | 0.72 | 0.78 | 0.94 | 0.76 | 0.80 | 0.76 | 0.79 | 0.80 |
| 5 | 0.94 | 0.88 | 0.86 | 0.72 | 1.00 | 0.84 | 0.72 | 0.81 | 0.72 | 0.78 | 0.77 | 0.80 |
| 6 | 0.89 | 0.87 | 0.91 | 0.78 | 0.84 | 1.00 | 0.75 | 0.85 | 0.80 | 0.80 | 0.84 | 0.80 |
| 7 | 0.73 | 0.71 | 0.74 | 0.94 | 0.72 | 0.75 | 1.00 | 0.76 | 0.82 | 0.78 | 0.79 | 0.81 |
| 8 | 0.82 | 0.84 | 0.92 | 0.76 | 0.81 | 0.85 | 0.76 | 1.00 | 0.82 | 0.78 | 0.90 | 0.86 |
| 9 | 0.76 | 0.77 | 0.78 | 0.80 | 0.72 | 0.80 | 0.82 | 0.82 | 1.00 | 0.86 | 0.81 | 0.86 |
| 10 | 0.79 | 0.77 | 0.80 | 0.76 | 0.78 | 0.80 | 0.78 | 0.78 | 0.86 | 1.00 | 0.77 | 0.82 |
| 11 | 0.79 | 0.81 | 0.90 | 0.79 | 0.77 | 0.84 | 0.79 | 0.90 | 0.81 | 0.77 | 1.00 | 0.85 |
| 12 | 0.80 | 0.82 | 0.85 | 0.80 | 0.80 | 0.80 | 0.81 | 0.86 | 0.86 | 0.82 | 0.85 | 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