| Project Name | WT |
| Project Name | WT |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.0 | 102.9 | 86.6 | 75.4 | 64.1 | 52.9 | 49.5 | 49.4 | 47.1 | 44.8 | 37.7 | 33.2 |
| Cluster size | 334 | 227 | 193 | 183 | 231 | 156 | 156 | 95 | 175 | 79 | 90 | 81 |
| Average cluster RMSD | 2.1 | 2.2 | 2.2 | 2.4 | 3.6 | 3.0 | 3.2 | 1.9 | 3.7 | 1.8 | 2.4 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 12.30 | 11.60 | 13.10 | 12.40 | 13.60 | 11.30 | 12.10 | 11.50 | 14.40 | 15.40 | 11.40 | 12.10 |
| GDT_TS | 0.42 | 0.43 | 0.42 | 0.44 | 0.44 | 0.46 | 0.45 | 0.36 | 0.44 | 0.44 | 0.41 | 0.37 |
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 | 3.17 | 1.41 | 1.87 | 3.13 | 4.26 | 3.19 | 5.86 | 4.63 | 5.63 | 2.31 | 6.16 |
| 2 | 3.17 | 0.00 | 3.73 | 3.54 | 3.77 | 4.01 | 1.78 | 4.61 | 5.21 | 6.23 | 3.76 | 4.83 |
| 3 | 1.41 | 3.73 | 0.00 | 1.96 | 3.05 | 4.70 | 3.57 | 6.50 | 4.61 | 5.36 | 2.73 | 6.69 |
| 4 | 1.87 | 3.54 | 1.96 | 0.00 | 3.36 | 4.34 | 3.46 | 6.26 | 4.99 | 5.52 | 2.20 | 6.52 |
| 5 | 3.13 | 3.77 | 3.05 | 3.36 | 0.00 | 4.48 | 2.89 | 6.40 | 3.06 | 4.16 | 4.32 | 6.06 |
| 6 | 4.26 | 4.01 | 4.70 | 4.34 | 4.48 | 0.00 | 3.61 | 6.62 | 5.46 | 5.14 | 4.70 | 6.42 |
| 7 | 3.19 | 1.78 | 3.57 | 3.46 | 2.89 | 3.61 | 0.00 | 5.11 | 4.56 | 5.47 | 4.12 | 4.97 |
| 8 | 5.86 | 4.61 | 6.50 | 6.26 | 6.40 | 6.62 | 5.11 | 0.00 | 6.77 | 8.30 | 6.19 | 2.48 |
| 9 | 4.63 | 5.21 | 4.61 | 4.99 | 3.06 | 5.46 | 4.56 | 6.77 | 0.00 | 3.71 | 5.77 | 5.90 |
| 10 | 5.63 | 6.23 | 5.36 | 5.52 | 4.16 | 5.14 | 5.47 | 8.30 | 3.71 | 0.00 | 6.56 | 7.56 |
| 11 | 2.31 | 3.76 | 2.73 | 2.20 | 4.32 | 4.70 | 4.12 | 6.19 | 5.77 | 6.56 | 0.00 | 6.72 |
| 12 | 6.16 | 4.83 | 6.69 | 6.52 | 6.06 | 6.42 | 4.97 | 2.48 | 5.90 | 7.56 | 6.72 | 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 | 0.70 | 0.83 | 0.85 | 0.80 | 0.66 | 0.71 | 0.42 | 0.71 | 0.78 | 0.76 | 0.50 |
| 2 | 0.70 | 1.00 | 0.65 | 0.68 | 0.68 | 0.71 | 0.91 | 0.51 | 0.63 | 0.61 | 0.67 | 0.56 |
| 3 | 0.83 | 0.65 | 1.00 | 0.84 | 0.75 | 0.60 | 0.67 | 0.42 | 0.67 | 0.74 | 0.73 | 0.46 |
| 4 | 0.85 | 0.68 | 0.84 | 1.00 | 0.74 | 0.61 | 0.67 | 0.45 | 0.66 | 0.70 | 0.78 | 0.53 |
| 5 | 0.80 | 0.68 | 0.75 | 0.74 | 1.00 | 0.66 | 0.73 | 0.43 | 0.70 | 0.73 | 0.67 | 0.49 |
| 6 | 0.66 | 0.71 | 0.60 | 0.61 | 0.66 | 1.00 | 0.75 | 0.43 | 0.61 | 0.57 | 0.57 | 0.47 |
| 7 | 0.71 | 0.91 | 0.67 | 0.67 | 0.73 | 0.75 | 1.00 | 0.48 | 0.64 | 0.62 | 0.62 | 0.53 |
| 8 | 0.42 | 0.51 | 0.42 | 0.45 | 0.43 | 0.43 | 0.48 | 1.00 | 0.41 | 0.43 | 0.49 | 0.78 |
| 9 | 0.71 | 0.63 | 0.67 | 0.66 | 0.70 | 0.61 | 0.64 | 0.41 | 1.00 | 0.82 | 0.64 | 0.44 |
| 10 | 0.78 | 0.61 | 0.74 | 0.70 | 0.73 | 0.57 | 0.62 | 0.43 | 0.82 | 1.00 | 0.71 | 0.45 |
| 11 | 0.76 | 0.67 | 0.73 | 0.78 | 0.67 | 0.57 | 0.62 | 0.49 | 0.64 | 0.71 | 1.00 | 0.50 |
| 12 | 0.50 | 0.56 | 0.46 | 0.53 | 0.49 | 0.47 | 0.53 | 0.78 | 0.44 | 0.45 | 0.50 | 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