| Project Name | R147G |
| Project Name | R147G |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 223.3 | 180.7 | 173.7 | 161.7 | 97.9 | 95.7 | 88.7 | 85.9 | 74.5 | 64.1 | 44.0 | 35.6 |
| Cluster size | 326 | 278 | 254 | 234 | 116 | 158 | 139 | 106 | 142 | 119 | 58 | 70 |
| Average cluster RMSD | 1.5 | 1.5 | 1.5 | 1.4 | 1.2 | 1.7 | 1.6 | 1.2 | 1.9 | 1.9 | 1.3 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.99 | 5.07 | 6.09 | 5.68 | 5.51 | 5.54 | 6.46 | 5.80 | 6.28 | 5.58 | 6.46 | 5.14 |
| GDT_TS | 0.54 | 0.53 | 0.46 | 0.55 | 0.52 | 0.49 | 0.45 | 0.56 | 0.46 | 0.46 | 0.47 | 0.48 |
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 | 0.80 | 4.58 | 4.68 | 1.86 | 3.98 | 4.29 | 5.20 | 3.69 | 4.23 | 3.11 | 2.24 |
| 2 | 0.80 | 0.00 | 4.59 | 4.65 | 1.90 | 3.99 | 4.28 | 5.08 | 3.68 | 4.26 | 3.09 | 2.39 |
| 3 | 4.58 | 4.59 | 0.00 | 2.02 | 3.68 | 1.24 | 1.90 | 3.05 | 1.99 | 2.15 | 4.45 | 5.75 |
| 4 | 4.68 | 4.65 | 2.02 | 0.00 | 4.14 | 2.06 | 2.98 | 1.89 | 2.65 | 2.28 | 4.46 | 5.66 |
| 5 | 1.86 | 1.90 | 3.68 | 4.14 | 0.00 | 3.23 | 3.24 | 4.97 | 2.58 | 3.68 | 3.14 | 3.42 |
| 6 | 3.98 | 3.99 | 1.24 | 2.06 | 3.23 | 0.00 | 1.99 | 3.02 | 2.03 | 2.13 | 4.17 | 5.18 |
| 7 | 4.29 | 4.28 | 1.90 | 2.98 | 3.24 | 1.99 | 0.00 | 3.85 | 1.32 | 2.66 | 3.77 | 5.35 |
| 8 | 5.20 | 5.08 | 3.05 | 1.89 | 4.97 | 3.02 | 3.85 | 0.00 | 3.73 | 2.83 | 4.81 | 5.81 |
| 9 | 3.69 | 3.68 | 1.99 | 2.65 | 2.58 | 2.03 | 1.32 | 3.73 | 0.00 | 2.53 | 3.13 | 4.88 |
| 10 | 4.23 | 4.26 | 2.15 | 2.28 | 3.68 | 2.13 | 2.66 | 2.83 | 2.53 | 0.00 | 3.83 | 4.85 |
| 11 | 3.11 | 3.09 | 4.45 | 4.46 | 3.14 | 4.17 | 3.77 | 4.81 | 3.13 | 3.83 | 0.00 | 3.31 |
| 12 | 2.24 | 2.39 | 5.75 | 5.66 | 3.42 | 5.18 | 5.35 | 5.81 | 4.88 | 4.85 | 3.31 | 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 | 0.96 | 0.57 | 0.56 | 0.82 | 0.57 | 0.60 | 0.55 | 0.69 | 0.51 | 0.76 | 0.82 |
| 2 | 0.96 | 1.00 | 0.56 | 0.54 | 0.79 | 0.57 | 0.59 | 0.55 | 0.66 | 0.54 | 0.72 | 0.80 |
| 3 | 0.57 | 0.56 | 1.00 | 0.74 | 0.59 | 0.91 | 0.78 | 0.61 | 0.78 | 0.85 | 0.59 | 0.62 |
| 4 | 0.56 | 0.54 | 0.74 | 1.00 | 0.65 | 0.76 | 0.70 | 0.81 | 0.76 | 0.80 | 0.58 | 0.58 |
| 5 | 0.82 | 0.79 | 0.59 | 0.65 | 1.00 | 0.63 | 0.67 | 0.57 | 0.74 | 0.60 | 0.75 | 0.69 |
| 6 | 0.57 | 0.57 | 0.91 | 0.76 | 0.63 | 1.00 | 0.82 | 0.67 | 0.78 | 0.86 | 0.64 | 0.62 |
| 7 | 0.60 | 0.59 | 0.78 | 0.70 | 0.67 | 0.82 | 1.00 | 0.57 | 0.87 | 0.73 | 0.65 | 0.62 |
| 8 | 0.55 | 0.55 | 0.61 | 0.81 | 0.57 | 0.67 | 0.57 | 1.00 | 0.62 | 0.71 | 0.56 | 0.54 |
| 9 | 0.69 | 0.66 | 0.78 | 0.76 | 0.74 | 0.78 | 0.87 | 0.62 | 1.00 | 0.77 | 0.72 | 0.70 |
| 10 | 0.51 | 0.54 | 0.85 | 0.80 | 0.60 | 0.86 | 0.73 | 0.71 | 0.77 | 1.00 | 0.59 | 0.58 |
| 11 | 0.76 | 0.72 | 0.59 | 0.58 | 0.75 | 0.64 | 0.65 | 0.56 | 0.72 | 0.59 | 1.00 | 0.75 |
| 12 | 0.82 | 0.80 | 0.62 | 0.58 | 0.69 | 0.62 | 0.62 | 0.54 | 0.70 | 0.58 | 0.75 | 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