| Project Name | H125R |
| Project Name | H125R |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 165.9 | 162.4 | 160.6 | 146.9 | 143.9 | 104.9 | 101.9 | 100.3 | 85.0 | 82.8 | 78.9 | 65.2 |
| Cluster size | 278 | 214 | 225 | 151 | 185 | 183 | 214 | 79 | 113 | 154 | 150 | 54 |
| Average cluster RMSD | 1.7 | 1.3 | 1.4 | 1.0 | 1.3 | 1.7 | 2.1 | 0.8 | 1.3 | 1.9 | 1.9 | 0.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.62 | 6.45 | 4.73 | 4.16 | 5.21 | 3.14 | 2.90 | 4.72 | 6.15 | 5.16 | 5.54 | 5.09 |
| GDT_TS | 0.54 | 0.50 | 0.52 | 0.56 | 0.56 | 0.70 | 0.69 | 0.56 | 0.54 | 0.53 | 0.57 | 0.58 |
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 | 3.57 | 1.97 | 4.86 | 3.71 | 3.43 | 4.12 | 5.71 | 3.56 | 1.41 | 2.10 | 5.50 |
| 2 | 3.57 | 0.00 | 4.49 | 3.42 | 1.75 | 4.53 | 4.99 | 4.30 | 1.07 | 3.52 | 2.16 | 4.01 |
| 3 | 1.97 | 4.49 | 0.00 | 4.72 | 4.17 | 2.40 | 3.18 | 5.56 | 4.36 | 1.69 | 2.95 | 5.57 |
| 4 | 4.86 | 3.42 | 4.72 | 0.00 | 2.45 | 3.48 | 3.52 | 1.89 | 3.24 | 4.31 | 3.39 | 1.94 |
| 5 | 3.71 | 1.75 | 4.17 | 2.45 | 0.00 | 3.76 | 4.16 | 3.73 | 1.57 | 3.32 | 2.29 | 3.53 |
| 6 | 3.43 | 4.53 | 2.40 | 3.48 | 3.76 | 0.00 | 1.17 | 4.14 | 4.32 | 2.71 | 3.14 | 4.54 |
| 7 | 4.12 | 4.99 | 3.18 | 3.52 | 4.16 | 1.17 | 0.00 | 3.91 | 4.74 | 3.41 | 3.68 | 4.53 |
| 8 | 5.71 | 4.30 | 5.56 | 1.89 | 3.73 | 4.14 | 3.91 | 0.00 | 4.18 | 5.23 | 4.43 | 1.97 |
| 9 | 3.56 | 1.07 | 4.36 | 3.24 | 1.57 | 4.32 | 4.74 | 4.18 | 0.00 | 3.38 | 2.18 | 3.73 |
| 10 | 1.41 | 3.52 | 1.69 | 4.31 | 3.32 | 2.71 | 3.41 | 5.23 | 3.38 | 0.00 | 2.10 | 5.11 |
| 11 | 2.10 | 2.16 | 2.95 | 3.39 | 2.29 | 3.14 | 3.68 | 4.43 | 2.18 | 2.10 | 0.00 | 4.14 |
| 12 | 5.50 | 4.01 | 5.57 | 1.94 | 3.53 | 4.54 | 4.53 | 1.97 | 3.73 | 5.11 | 4.14 | 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 | 0.64 | 0.80 | 0.57 | 0.65 | 0.71 | 0.73 | 0.60 | 0.64 | 0.89 | 0.78 | 0.51 |
| 2 | 0.64 | 1.00 | 0.56 | 0.71 | 0.83 | 0.59 | 0.59 | 0.66 | 0.92 | 0.61 | 0.79 | 0.57 |
| 3 | 0.80 | 0.56 | 1.00 | 0.58 | 0.66 | 0.74 | 0.72 | 0.62 | 0.63 | 0.83 | 0.67 | 0.52 |
| 4 | 0.57 | 0.71 | 0.58 | 1.00 | 0.80 | 0.62 | 0.60 | 0.82 | 0.73 | 0.57 | 0.67 | 0.82 |
| 5 | 0.65 | 0.83 | 0.66 | 0.80 | 1.00 | 0.66 | 0.64 | 0.74 | 0.88 | 0.65 | 0.79 | 0.66 |
| 6 | 0.71 | 0.59 | 0.74 | 0.62 | 0.66 | 1.00 | 0.92 | 0.67 | 0.61 | 0.77 | 0.69 | 0.55 |
| 7 | 0.73 | 0.59 | 0.72 | 0.60 | 0.64 | 0.92 | 1.00 | 0.65 | 0.61 | 0.75 | 0.69 | 0.56 |
| 8 | 0.60 | 0.66 | 0.62 | 0.82 | 0.74 | 0.67 | 0.65 | 1.00 | 0.69 | 0.61 | 0.66 | 0.79 |
| 9 | 0.64 | 0.92 | 0.63 | 0.73 | 0.88 | 0.61 | 0.61 | 0.69 | 1.00 | 0.63 | 0.81 | 0.63 |
| 10 | 0.89 | 0.61 | 0.83 | 0.57 | 0.65 | 0.77 | 0.75 | 0.61 | 0.63 | 1.00 | 0.75 | 0.51 |
| 11 | 0.78 | 0.79 | 0.67 | 0.67 | 0.79 | 0.69 | 0.69 | 0.66 | 0.81 | 0.75 | 1.00 | 0.59 |
| 12 | 0.51 | 0.57 | 0.52 | 0.82 | 0.66 | 0.55 | 0.56 | 0.79 | 0.63 | 0.51 | 0.59 | 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