| Project Name | 13AT |
| Project Name | 13AT |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 144.3 | 120.6 | 106.3 | 104.5 | 94.2 | 92.7 | 81.9 | 80.7 | 78.1 | 77.1 | 54.9 | 20.9 |
| Cluster size | 334 | 218 | 161 | 243 | 153 | 97 | 96 | 154 | 190 | 162 | 137 | 55 |
| Average cluster RMSD | 2.3 | 1.8 | 1.5 | 2.3 | 1.6 | 1.0 | 1.2 | 1.9 | 2.4 | 2.1 | 2.5 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.37 | 4.23 | 3.89 | 2.67 | 3.68 | 4.28 | 4.36 | 3.71 | 4.40 | 2.87 | 2.93 | 5.04 |
| GDT_TS | 0.67 | 0.66 | 0.61 | 0.74 | 0.57 | 0.64 | 0.67 | 0.68 | 0.51 | 0.68 | 0.69 | 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 | 3.36 | 3.51 | 1.23 | 3.99 | 3.95 | 4.24 | 3.38 | 2.74 | 3.30 | 1.17 | 3.30 |
| 2 | 3.36 | 0.00 | 1.95 | 2.91 | 5.78 | 1.77 | 2.24 | 2.28 | 5.36 | 5.22 | 3.78 | 4.20 |
| 3 | 3.51 | 1.95 | 0.00 | 3.28 | 5.15 | 2.52 | 2.38 | 1.48 | 5.09 | 4.37 | 3.88 | 3.10 |
| 4 | 1.23 | 2.91 | 3.28 | 0.00 | 3.94 | 3.39 | 3.78 | 3.17 | 3.58 | 3.36 | 1.31 | 3.93 |
| 5 | 3.99 | 5.78 | 5.15 | 3.94 | 0.00 | 5.88 | 5.71 | 4.87 | 4.16 | 1.79 | 3.38 | 4.83 |
| 6 | 3.95 | 1.77 | 2.52 | 3.39 | 5.88 | 0.00 | 1.63 | 2.12 | 5.27 | 5.24 | 4.15 | 4.27 |
| 7 | 4.24 | 2.24 | 2.38 | 3.78 | 5.71 | 1.63 | 0.00 | 1.70 | 5.45 | 4.90 | 4.53 | 4.20 |
| 8 | 3.38 | 2.28 | 1.48 | 3.17 | 4.87 | 2.12 | 1.70 | 0.00 | 4.57 | 4.02 | 3.67 | 3.06 |
| 9 | 2.74 | 5.36 | 5.09 | 3.58 | 4.16 | 5.27 | 5.45 | 4.57 | 0.00 | 3.44 | 2.82 | 3.21 |
| 10 | 3.30 | 5.22 | 4.37 | 3.36 | 1.79 | 5.24 | 4.90 | 4.02 | 3.44 | 0.00 | 2.73 | 4.11 |
| 11 | 1.17 | 3.78 | 3.88 | 1.31 | 3.38 | 4.15 | 4.53 | 3.67 | 2.82 | 2.73 | 0.00 | 3.68 |
| 12 | 3.30 | 4.20 | 3.10 | 3.93 | 4.83 | 4.27 | 4.20 | 3.06 | 3.21 | 4.11 | 3.68 | 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 | 0.71 | 0.69 | 0.92 | 0.59 | 0.63 | 0.64 | 0.73 | 0.75 | 0.69 | 0.90 | 0.62 |
| 2 | 0.71 | 1.00 | 0.75 | 0.77 | 0.50 | 0.83 | 0.76 | 0.76 | 0.54 | 0.59 | 0.70 | 0.55 |
| 3 | 0.69 | 0.75 | 1.00 | 0.69 | 0.47 | 0.78 | 0.72 | 0.87 | 0.62 | 0.58 | 0.65 | 0.69 |
| 4 | 0.92 | 0.77 | 0.69 | 1.00 | 0.59 | 0.66 | 0.69 | 0.75 | 0.68 | 0.69 | 0.87 | 0.56 |
| 5 | 0.59 | 0.50 | 0.47 | 0.59 | 1.00 | 0.51 | 0.46 | 0.50 | 0.59 | 0.79 | 0.60 | 0.56 |
| 6 | 0.63 | 0.83 | 0.78 | 0.66 | 0.51 | 1.00 | 0.81 | 0.79 | 0.53 | 0.54 | 0.64 | 0.56 |
| 7 | 0.64 | 0.76 | 0.72 | 0.69 | 0.46 | 0.81 | 1.00 | 0.83 | 0.52 | 0.55 | 0.63 | 0.49 |
| 8 | 0.73 | 0.76 | 0.87 | 0.75 | 0.50 | 0.79 | 0.83 | 1.00 | 0.64 | 0.60 | 0.72 | 0.57 |
| 9 | 0.75 | 0.54 | 0.62 | 0.68 | 0.59 | 0.53 | 0.52 | 0.64 | 1.00 | 0.64 | 0.78 | 0.72 |
| 10 | 0.69 | 0.59 | 0.58 | 0.69 | 0.79 | 0.54 | 0.55 | 0.60 | 0.64 | 1.00 | 0.72 | 0.58 |
| 11 | 0.90 | 0.70 | 0.65 | 0.87 | 0.60 | 0.64 | 0.63 | 0.72 | 0.78 | 0.72 | 1.00 | 0.63 |
| 12 | 0.62 | 0.55 | 0.69 | 0.56 | 0.56 | 0.56 | 0.49 | 0.57 | 0.72 | 0.58 | 0.63 | 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