| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 171.4 | 152.6 | 150.1 | 128.2 | 127.2 | 117.3 | 108.5 | 96.9 | 89.4 | 83.7 | 73.8 | 50.8 |
| Cluster size | 259 | 223 | 214 | 187 | 177 | 167 | 167 | 158 | 137 | 124 | 113 | 74 |
| Average cluster RMSD | 1.5 | 1.5 | 1.4 | 1.5 | 1.4 | 1.4 | 1.5 | 1.6 | 1.5 | 1.5 | 1.5 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 2.69 | 2.64 | 2.70 | 2.37 | 2.83 | 2.36 | 2.72 | 2.72 | 2.39 | 2.84 | 2.57 | 2.68 |
| GDT_TS | 0.66 | 0.66 | 0.62 | 0.70 | 0.63 | 0.69 | 0.67 | 0.67 | 0.71 | 0.65 | 0.68 | 0.66 |
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 | 1.76 | 2.07 | 2.29 | 2.24 | 2.73 | 1.81 | 2.28 | 2.93 | 2.72 | 2.30 | 2.58 |
| 2 | 1.76 | 0.00 | 2.38 | 2.06 | 2.01 | 2.36 | 1.65 | 2.22 | 2.64 | 2.25 | 2.26 | 2.52 |
| 3 | 2.07 | 2.38 | 0.00 | 2.26 | 2.62 | 2.53 | 2.31 | 2.42 | 2.76 | 2.88 | 2.67 | 2.25 |
| 4 | 2.29 | 2.06 | 2.26 | 0.00 | 2.33 | 2.42 | 2.07 | 2.55 | 2.68 | 2.33 | 2.00 | 2.11 |
| 5 | 2.24 | 2.01 | 2.62 | 2.33 | 0.00 | 2.60 | 1.92 | 1.93 | 2.56 | 2.74 | 2.64 | 2.72 |
| 6 | 2.73 | 2.36 | 2.53 | 2.42 | 2.60 | 0.00 | 2.53 | 2.63 | 1.99 | 2.68 | 2.81 | 2.69 |
| 7 | 1.81 | 1.65 | 2.31 | 2.07 | 1.92 | 2.53 | 0.00 | 2.17 | 2.61 | 2.35 | 2.29 | 2.47 |
| 8 | 2.28 | 2.22 | 2.42 | 2.55 | 1.93 | 2.63 | 2.17 | 0.00 | 2.56 | 2.89 | 2.78 | 2.80 |
| 9 | 2.93 | 2.64 | 2.76 | 2.68 | 2.56 | 1.99 | 2.61 | 2.56 | 0.00 | 2.71 | 2.98 | 2.80 |
| 10 | 2.72 | 2.25 | 2.88 | 2.33 | 2.74 | 2.68 | 2.35 | 2.89 | 2.71 | 0.00 | 2.52 | 2.60 |
| 11 | 2.30 | 2.26 | 2.67 | 2.00 | 2.64 | 2.81 | 2.29 | 2.78 | 2.98 | 2.52 | 0.00 | 2.48 |
| 12 | 2.58 | 2.52 | 2.25 | 2.11 | 2.72 | 2.69 | 2.47 | 2.80 | 2.80 | 2.60 | 2.48 | 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 | 0.79 | 0.75 | 0.70 | 0.70 | 0.64 | 0.78 | 0.71 | 0.63 | 0.67 | 0.72 | 0.70 |
| 2 | 0.79 | 1.00 | 0.69 | 0.75 | 0.73 | 0.69 | 0.81 | 0.71 | 0.66 | 0.73 | 0.72 | 0.72 |
| 3 | 0.75 | 0.69 | 1.00 | 0.70 | 0.66 | 0.65 | 0.71 | 0.71 | 0.64 | 0.64 | 0.67 | 0.71 |
| 4 | 0.70 | 0.75 | 0.70 | 1.00 | 0.69 | 0.67 | 0.75 | 0.69 | 0.66 | 0.68 | 0.76 | 0.73 |
| 5 | 0.70 | 0.73 | 0.66 | 0.69 | 1.00 | 0.64 | 0.74 | 0.78 | 0.64 | 0.65 | 0.66 | 0.65 |
| 6 | 0.64 | 0.69 | 0.65 | 0.67 | 0.64 | 1.00 | 0.67 | 0.64 | 0.73 | 0.62 | 0.63 | 0.64 |
| 7 | 0.78 | 0.81 | 0.71 | 0.75 | 0.74 | 0.67 | 1.00 | 0.73 | 0.66 | 0.71 | 0.73 | 0.72 |
| 8 | 0.71 | 0.71 | 0.71 | 0.69 | 0.78 | 0.64 | 0.73 | 1.00 | 0.65 | 0.65 | 0.65 | 0.67 |
| 9 | 0.63 | 0.66 | 0.64 | 0.66 | 0.64 | 0.73 | 0.66 | 0.65 | 1.00 | 0.65 | 0.63 | 0.64 |
| 10 | 0.67 | 0.73 | 0.64 | 0.68 | 0.65 | 0.62 | 0.71 | 0.65 | 0.65 | 1.00 | 0.68 | 0.70 |
| 11 | 0.72 | 0.72 | 0.67 | 0.76 | 0.66 | 0.63 | 0.73 | 0.65 | 0.63 | 0.68 | 1.00 | 0.68 |
| 12 | 0.70 | 0.72 | 0.71 | 0.73 | 0.65 | 0.64 | 0.72 | 0.67 | 0.64 | 0.70 | 0.68 | 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