| Project Name | kktk |
| Project Name | kktk |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 243.5 | 232.8 | 192.6 | 177.9 | 147.0 | 129.6 | 126.9 | 104.7 | 100.5 | 80.5 | 55.4 | 46.6 |
| Cluster size | 310 | 294 | 240 | 228 | 192 | 150 | 150 | 115 | 111 | 101 | 62 | 47 |
| Average cluster RMSD | 1.3 | 1.3 | 1.2 | 1.3 | 1.3 | 1.2 | 1.2 | 1.1 | 1.1 | 1.3 | 1.1 | 1.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.50 | 3.06 | 3.55 | 3.07 | 3.56 | 3.15 | 3.16 | 3.10 | 2.99 | 3.45 | 3.51 | 3.10 |
| GDT_TS | 0.61 | 0.65 | 0.58 | 0.63 | 0.59 | 0.66 | 0.61 | 0.63 | 0.67 | 0.61 | 0.60 | 0.62 |
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 | 2.16 | 2.47 | 2.58 | 3.01 | 2.42 | 2.35 | 2.07 | 2.37 | 2.00 | 3.04 | 2.11 |
| 2 | 2.16 | 0.00 | 2.37 | 2.29 | 3.01 | 2.66 | 2.42 | 2.00 | 2.01 | 2.17 | 3.21 | 2.54 |
| 3 | 2.47 | 2.37 | 0.00 | 2.45 | 2.53 | 2.58 | 2.53 | 2.22 | 2.42 | 2.38 | 2.66 | 2.59 |
| 4 | 2.58 | 2.29 | 2.45 | 0.00 | 2.56 | 2.85 | 2.47 | 2.14 | 2.17 | 2.41 | 3.02 | 2.62 |
| 5 | 3.01 | 3.01 | 2.53 | 2.56 | 0.00 | 3.20 | 3.16 | 2.70 | 3.01 | 2.80 | 2.46 | 3.04 |
| 6 | 2.42 | 2.66 | 2.58 | 2.85 | 3.20 | 0.00 | 1.88 | 2.22 | 2.46 | 2.46 | 2.93 | 1.80 |
| 7 | 2.35 | 2.42 | 2.53 | 2.47 | 3.16 | 1.88 | 0.00 | 1.97 | 2.20 | 2.14 | 3.11 | 2.15 |
| 8 | 2.07 | 2.00 | 2.22 | 2.14 | 2.70 | 2.22 | 1.97 | 0.00 | 2.10 | 1.92 | 2.73 | 2.30 |
| 9 | 2.37 | 2.01 | 2.42 | 2.17 | 3.01 | 2.46 | 2.20 | 2.10 | 0.00 | 2.13 | 3.38 | 2.49 |
| 10 | 2.00 | 2.17 | 2.38 | 2.41 | 2.80 | 2.46 | 2.14 | 1.92 | 2.13 | 0.00 | 2.91 | 2.47 |
| 11 | 3.04 | 3.21 | 2.66 | 3.02 | 2.46 | 2.93 | 3.11 | 2.73 | 3.38 | 2.91 | 0.00 | 2.72 |
| 12 | 2.11 | 2.54 | 2.59 | 2.62 | 3.04 | 1.80 | 2.15 | 2.30 | 2.49 | 2.47 | 2.72 | 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 | 0.71 | 0.67 | 0.66 | 0.59 | 0.69 | 0.69 | 0.71 | 0.70 | 0.73 | 0.62 | 0.73 |
| 2 | 0.71 | 1.00 | 0.68 | 0.71 | 0.60 | 0.66 | 0.67 | 0.73 | 0.73 | 0.70 | 0.59 | 0.66 |
| 3 | 0.67 | 0.68 | 1.00 | 0.71 | 0.67 | 0.66 | 0.66 | 0.69 | 0.68 | 0.69 | 0.65 | 0.67 |
| 4 | 0.66 | 0.71 | 0.71 | 1.00 | 0.65 | 0.66 | 0.69 | 0.74 | 0.74 | 0.68 | 0.60 | 0.68 |
| 5 | 0.59 | 0.60 | 0.67 | 0.65 | 1.00 | 0.60 | 0.60 | 0.64 | 0.61 | 0.62 | 0.68 | 0.60 |
| 6 | 0.69 | 0.66 | 0.66 | 0.66 | 0.60 | 1.00 | 0.76 | 0.72 | 0.67 | 0.67 | 0.61 | 0.79 |
| 7 | 0.69 | 0.67 | 0.66 | 0.69 | 0.60 | 0.76 | 1.00 | 0.73 | 0.72 | 0.70 | 0.59 | 0.71 |
| 8 | 0.71 | 0.73 | 0.69 | 0.74 | 0.64 | 0.72 | 0.73 | 1.00 | 0.74 | 0.74 | 0.63 | 0.71 |
| 9 | 0.70 | 0.73 | 0.68 | 0.74 | 0.61 | 0.67 | 0.72 | 0.74 | 1.00 | 0.71 | 0.57 | 0.68 |
| 10 | 0.73 | 0.70 | 0.69 | 0.68 | 0.62 | 0.67 | 0.70 | 0.74 | 0.71 | 1.00 | 0.63 | 0.67 |
| 11 | 0.62 | 0.59 | 0.65 | 0.60 | 0.68 | 0.61 | 0.59 | 0.63 | 0.57 | 0.63 | 1.00 | 0.65 |
| 12 | 0.73 | 0.66 | 0.67 | 0.68 | 0.60 | 0.79 | 0.71 | 0.71 | 0.68 | 0.67 | 0.65 | 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