| Project Name | SAYALI |
| Project Name | SAYALI |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 208.1 | 191.4 | 178.4 | 159.2 | 152.6 | 121.3 | 113.8 | 102.5 | 100.4 | 89.2 | 76.5 | 67.4 |
| Cluster size | 265 | 226 | 228 | 221 | 167 | 159 | 140 | 139 | 126 | 129 | 107 | 93 |
| Average cluster RMSD | 1.3 | 1.2 | 1.3 | 1.4 | 1.1 | 1.3 | 1.2 | 1.4 | 1.3 | 1.4 | 1.4 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.39 | 3.24 | 3.83 | 3.61 | 3.37 | 3.55 | 3.47 | 3.38 | 3.70 | 3.16 | 3.66 | 3.49 |
| GDT_TS | 0.59 | 0.63 | 0.56 | 0.61 | 0.60 | 0.60 | 0.60 | 0.60 | 0.56 | 0.63 | 0.57 | 0.57 |
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 | 1.88 | 2.24 | 2.41 | 2.06 | 2.36 | 2.27 | 3.02 | 2.86 | 3.41 | 2.51 | 3.22 |
| 2 | 1.88 | 0.00 | 1.97 | 1.94 | 1.77 | 2.10 | 2.01 | 2.94 | 2.86 | 3.16 | 2.10 | 3.07 |
| 3 | 2.24 | 1.97 | 0.00 | 1.98 | 2.34 | 2.13 | 2.26 | 3.46 | 2.53 | 3.33 | 2.22 | 3.14 |
| 4 | 2.41 | 1.94 | 1.98 | 0.00 | 2.10 | 1.91 | 2.46 | 3.36 | 3.01 | 3.41 | 2.00 | 3.41 |
| 5 | 2.06 | 1.77 | 2.34 | 2.10 | 0.00 | 2.13 | 2.11 | 3.04 | 3.00 | 3.27 | 2.24 | 3.19 |
| 6 | 2.36 | 2.10 | 2.13 | 1.91 | 2.13 | 0.00 | 2.38 | 3.18 | 2.91 | 3.07 | 1.79 | 3.36 |
| 7 | 2.27 | 2.01 | 2.26 | 2.46 | 2.11 | 2.38 | 0.00 | 3.60 | 3.03 | 3.60 | 2.78 | 3.65 |
| 8 | 3.02 | 2.94 | 3.46 | 3.36 | 3.04 | 3.18 | 3.60 | 0.00 | 3.21 | 2.53 | 3.25 | 2.84 |
| 9 | 2.86 | 2.86 | 2.53 | 3.01 | 3.00 | 2.91 | 3.03 | 3.21 | 0.00 | 2.87 | 3.17 | 2.40 |
| 10 | 3.41 | 3.16 | 3.33 | 3.41 | 3.27 | 3.07 | 3.60 | 2.53 | 2.87 | 0.00 | 3.33 | 2.53 |
| 11 | 2.51 | 2.10 | 2.22 | 2.00 | 2.24 | 1.79 | 2.78 | 3.25 | 3.17 | 3.33 | 0.00 | 3.37 |
| 12 | 3.22 | 3.07 | 3.14 | 3.41 | 3.19 | 3.36 | 3.65 | 2.84 | 2.40 | 2.53 | 3.37 | 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 | 0.78 | 0.69 | 0.69 | 0.73 | 0.70 | 0.70 | 0.65 | 0.65 | 0.58 | 0.69 | 0.60 |
| 2 | 0.78 | 1.00 | 0.72 | 0.75 | 0.79 | 0.73 | 0.74 | 0.70 | 0.67 | 0.64 | 0.74 | 0.62 |
| 3 | 0.69 | 0.72 | 1.00 | 0.73 | 0.69 | 0.74 | 0.69 | 0.60 | 0.71 | 0.61 | 0.71 | 0.63 |
| 4 | 0.69 | 0.75 | 0.73 | 1.00 | 0.71 | 0.78 | 0.66 | 0.63 | 0.65 | 0.60 | 0.76 | 0.61 |
| 5 | 0.73 | 0.79 | 0.69 | 0.71 | 1.00 | 0.72 | 0.71 | 0.66 | 0.63 | 0.62 | 0.70 | 0.61 |
| 6 | 0.70 | 0.73 | 0.74 | 0.78 | 0.72 | 1.00 | 0.68 | 0.64 | 0.65 | 0.63 | 0.83 | 0.61 |
| 7 | 0.70 | 0.74 | 0.69 | 0.66 | 0.71 | 0.68 | 1.00 | 0.62 | 0.64 | 0.58 | 0.66 | 0.60 |
| 8 | 0.65 | 0.70 | 0.60 | 0.63 | 0.66 | 0.64 | 0.62 | 1.00 | 0.61 | 0.72 | 0.63 | 0.64 |
| 9 | 0.65 | 0.67 | 0.71 | 0.65 | 0.63 | 0.65 | 0.64 | 0.61 | 1.00 | 0.65 | 0.63 | 0.72 |
| 10 | 0.58 | 0.64 | 0.61 | 0.60 | 0.62 | 0.63 | 0.58 | 0.72 | 0.65 | 1.00 | 0.59 | 0.71 |
| 11 | 0.69 | 0.74 | 0.71 | 0.76 | 0.70 | 0.83 | 0.66 | 0.63 | 0.63 | 0.59 | 1.00 | 0.61 |
| 12 | 0.60 | 0.62 | 0.63 | 0.61 | 0.61 | 0.61 | 0.60 | 0.64 | 0.72 | 0.71 | 0.61 | 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