| Project Name | 16a |
| Project Name | 16a |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 211.9 | 211.3 | 192.3 | 189.4 | 165.2 | 155.9 | 143.0 | 134.4 | 119.1 | 61.7 | 50.0 | 48.4 |
| Cluster size | 259 | 249 | 193 | 244 | 190 | 200 | 184 | 163 | 150 | 71 | 37 | 60 |
| Average cluster RMSD | 1.2 | 1.2 | 1.0 | 1.3 | 1.2 | 1.3 | 1.3 | 1.2 | 1.3 | 1.2 | 0.7 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.23 | 3.81 | 2.96 | 2.08 | 4.74 | 1.58 | 2.56 | 2.96 | 2.04 | 3.62 | 5.09 | 4.86 |
| GDT_TS | 0.81 | 0.66 | 0.70 | 0.79 | 0.58 | 0.82 | 0.77 | 0.69 | 0.82 | 0.61 | 0.52 | 0.56 |
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 | 2.12 | 1.46 | 1.50 | 3.17 | 2.23 | 1.23 | 1.72 | 0.99 | 2.10 | 3.80 | 3.27 |
| 2 | 2.12 | 0.00 | 1.63 | 3.04 | 1.22 | 3.87 | 2.03 | 1.50 | 2.31 | 0.92 | 2.20 | 1.27 |
| 3 | 1.46 | 1.63 | 0.00 | 1.79 | 2.53 | 2.69 | 1.59 | 1.28 | 1.57 | 1.49 | 3.36 | 2.62 |
| 4 | 1.50 | 3.04 | 1.79 | 0.00 | 4.03 | 1.56 | 1.79 | 2.52 | 1.60 | 2.87 | 4.80 | 4.11 |
| 5 | 3.17 | 1.22 | 2.53 | 4.03 | 0.00 | 4.78 | 2.98 | 2.24 | 3.33 | 1.43 | 1.60 | 0.52 |
| 6 | 2.23 | 3.87 | 2.69 | 1.56 | 4.78 | 0.00 | 2.46 | 3.00 | 2.18 | 3.64 | 5.28 | 4.94 |
| 7 | 1.23 | 2.03 | 1.59 | 1.79 | 2.98 | 2.46 | 0.00 | 1.97 | 1.35 | 2.15 | 3.85 | 3.09 |
| 8 | 1.72 | 1.50 | 1.28 | 2.52 | 2.24 | 3.00 | 1.97 | 0.00 | 1.66 | 1.22 | 2.61 | 2.40 |
| 9 | 0.99 | 2.31 | 1.57 | 1.60 | 3.33 | 2.18 | 1.35 | 1.66 | 0.00 | 2.22 | 3.84 | 3.43 |
| 10 | 2.10 | 0.92 | 1.49 | 2.87 | 1.43 | 3.64 | 2.15 | 1.22 | 2.22 | 0.00 | 2.17 | 1.53 |
| 11 | 3.80 | 2.20 | 3.36 | 4.80 | 1.60 | 5.28 | 3.85 | 2.61 | 3.84 | 2.17 | 0.00 | 1.77 |
| 12 | 3.27 | 1.27 | 2.62 | 4.11 | 0.52 | 4.94 | 3.09 | 2.40 | 3.43 | 1.53 | 1.77 | 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 | 0.79 | 0.87 | 0.85 | 0.69 | 0.77 | 0.88 | 0.83 | 0.95 | 0.77 | 0.62 | 0.67 |
| 2 | 0.79 | 1.00 | 0.86 | 0.74 | 0.88 | 0.69 | 0.81 | 0.89 | 0.79 | 0.94 | 0.75 | 0.89 |
| 3 | 0.87 | 0.86 | 1.00 | 0.82 | 0.76 | 0.76 | 0.86 | 0.88 | 0.84 | 0.86 | 0.63 | 0.75 |
| 4 | 0.85 | 0.74 | 0.82 | 1.00 | 0.66 | 0.85 | 0.83 | 0.74 | 0.86 | 0.71 | 0.56 | 0.65 |
| 5 | 0.69 | 0.88 | 0.76 | 0.66 | 1.00 | 0.64 | 0.67 | 0.83 | 0.67 | 0.90 | 0.83 | 0.99 |
| 6 | 0.77 | 0.69 | 0.76 | 0.85 | 0.64 | 1.00 | 0.75 | 0.75 | 0.78 | 0.70 | 0.57 | 0.64 |
| 7 | 0.88 | 0.81 | 0.86 | 0.83 | 0.67 | 0.75 | 1.00 | 0.82 | 0.90 | 0.76 | 0.59 | 0.66 |
| 8 | 0.83 | 0.89 | 0.88 | 0.74 | 0.83 | 0.75 | 0.82 | 1.00 | 0.83 | 0.91 | 0.73 | 0.81 |
| 9 | 0.95 | 0.79 | 0.84 | 0.86 | 0.67 | 0.78 | 0.90 | 0.83 | 1.00 | 0.76 | 0.62 | 0.64 |
| 10 | 0.77 | 0.94 | 0.86 | 0.71 | 0.90 | 0.70 | 0.76 | 0.91 | 0.76 | 1.00 | 0.80 | 0.89 |
| 11 | 0.62 | 0.75 | 0.63 | 0.56 | 0.83 | 0.57 | 0.59 | 0.73 | 0.62 | 0.80 | 1.00 | 0.81 |
| 12 | 0.67 | 0.89 | 0.75 | 0.65 | 0.99 | 0.64 | 0.66 | 0.81 | 0.64 | 0.89 | 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