| Project Name | 5 |
| Project Name | 5 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 327.1 | 320.0 | 294.0 | 223.9 | 207.8 | 193.7 | 145.8 | 103.6 | 92.6 | 81.0 | 19.5 | 18.8 |
| Cluster size | 304 | 295 | 262 | 210 | 235 | 173 | 167 | 104 | 109 | 92 | 22 | 27 |
| Average cluster RMSD | 0.9 | 0.9 | 0.9 | 0.9 | 1.1 | 0.9 | 1.1 | 1.0 | 1.2 | 1.1 | 1.1 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.06 | 4.23 | 3.90 | 4.53 | 5.21 | 4.64 | 4.74 | 4.22 | 3.27 | 3.97 | 3.02 | 3.90 |
| GDT_TS | 0.68 | 0.72 | 0.70 | 0.69 | 0.60 | 0.66 | 0.63 | 0.68 | 0.69 | 0.64 | 0.75 | 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 | 0.84 | 0.61 | 1.08 | 2.36 | 1.59 | 1.84 | 1.58 | 1.83 | 0.96 | 3.03 | 2.51 |
| 2 | 0.84 | 0.00 | 0.80 | 0.89 | 2.36 | 1.53 | 1.82 | 1.55 | 2.31 | 1.51 | 3.42 | 2.85 |
| 3 | 0.61 | 0.80 | 0.00 | 1.21 | 2.61 | 1.76 | 2.09 | 1.67 | 1.91 | 1.24 | 3.01 | 2.62 |
| 4 | 1.08 | 0.89 | 1.21 | 0.00 | 2.02 | 1.43 | 1.70 | 1.64 | 2.71 | 1.74 | 3.89 | 3.02 |
| 5 | 2.36 | 2.36 | 2.61 | 2.02 | 0.00 | 1.42 | 1.24 | 1.81 | 3.52 | 2.69 | 4.68 | 2.82 |
| 6 | 1.59 | 1.53 | 1.76 | 1.43 | 1.42 | 0.00 | 0.84 | 0.90 | 2.83 | 2.00 | 3.95 | 2.58 |
| 7 | 1.84 | 1.82 | 2.09 | 1.70 | 1.24 | 0.84 | 0.00 | 1.15 | 2.84 | 2.04 | 4.02 | 2.59 |
| 8 | 1.58 | 1.55 | 1.67 | 1.64 | 1.81 | 0.90 | 1.15 | 0.00 | 2.42 | 1.84 | 3.46 | 2.20 |
| 9 | 1.83 | 2.31 | 1.91 | 2.71 | 3.52 | 2.83 | 2.84 | 2.42 | 0.00 | 1.32 | 1.56 | 2.29 |
| 10 | 0.96 | 1.51 | 1.24 | 1.74 | 2.69 | 2.00 | 2.04 | 1.84 | 1.32 | 0.00 | 2.66 | 2.34 |
| 11 | 3.03 | 3.42 | 3.01 | 3.89 | 4.68 | 3.95 | 4.02 | 3.46 | 1.56 | 2.66 | 0.00 | 3.03 |
| 12 | 2.51 | 2.85 | 2.62 | 3.02 | 2.82 | 2.58 | 2.59 | 2.20 | 2.29 | 2.34 | 3.03 | 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 | 0.98 | 0.96 | 0.87 | 0.96 | 0.94 | 0.93 | 0.90 | 0.94 | 0.81 | 0.84 |
| 2 | 0.94 | 1.00 | 0.96 | 0.94 | 0.85 | 0.94 | 0.91 | 0.92 | 0.87 | 0.89 | 0.79 | 0.82 |
| 3 | 0.98 | 0.96 | 1.00 | 0.91 | 0.86 | 0.95 | 0.88 | 0.95 | 0.89 | 0.89 | 0.82 | 0.83 |
| 4 | 0.96 | 0.94 | 0.91 | 1.00 | 0.92 | 0.94 | 0.91 | 0.88 | 0.85 | 0.87 | 0.79 | 0.79 |
| 5 | 0.87 | 0.85 | 0.86 | 0.92 | 1.00 | 0.90 | 0.91 | 0.83 | 0.72 | 0.81 | 0.70 | 0.77 |
| 6 | 0.96 | 0.94 | 0.95 | 0.94 | 0.90 | 1.00 | 0.95 | 0.94 | 0.84 | 0.90 | 0.77 | 0.81 |
| 7 | 0.94 | 0.91 | 0.88 | 0.91 | 0.91 | 0.95 | 1.00 | 0.92 | 0.81 | 0.89 | 0.74 | 0.82 |
| 8 | 0.93 | 0.92 | 0.95 | 0.88 | 0.83 | 0.94 | 0.92 | 1.00 | 0.87 | 0.88 | 0.78 | 0.87 |
| 9 | 0.90 | 0.87 | 0.89 | 0.85 | 0.72 | 0.84 | 0.81 | 0.87 | 1.00 | 0.90 | 0.87 | 0.89 |
| 10 | 0.94 | 0.89 | 0.89 | 0.87 | 0.81 | 0.90 | 0.89 | 0.88 | 0.90 | 1.00 | 0.77 | 0.87 |
| 11 | 0.81 | 0.79 | 0.82 | 0.79 | 0.70 | 0.77 | 0.74 | 0.78 | 0.87 | 0.77 | 1.00 | 0.81 |
| 12 | 0.84 | 0.82 | 0.83 | 0.79 | 0.77 | 0.81 | 0.82 | 0.87 | 0.89 | 0.87 | 0.81 | 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