| Project Name | Ma |
| Project Name | Ma |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 166.5 | 130.5 | 113.9 | 106.2 | 95.0 | 91.1 | 90.9 | 74.7 | 65.0 | 64.5 | 59.2 | 31.9 |
| Cluster size | 323 | 218 | 209 | 184 | 176 | 169 | 184 | 133 | 122 | 117 | 113 | 52 |
| Average cluster RMSD | 1.9 | 1.7 | 1.8 | 1.7 | 1.9 | 1.9 | 2.0 | 1.8 | 1.9 | 1.8 | 1.9 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.33 | 3.89 | 4.07 | 3.39 | 3.38 | 3.96 | 3.35 | 3.53 | 3.42 | 4.00 | 3.68 | 4.33 |
| GDT_TS | 0.62 | 0.65 | 0.58 | 0.61 | 0.66 | 0.58 | 0.66 | 0.65 | 0.62 | 0.60 | 0.63 | 0.60 |
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 | 2.89 | 3.01 | 2.79 | 2.54 | 2.53 | 2.86 | 2.56 | 2.72 | 2.64 | 2.75 | 4.09 |
| 2 | 2.89 | 0.00 | 3.12 | 3.72 | 3.38 | 2.54 | 3.92 | 2.57 | 3.41 | 2.98 | 3.00 | 4.88 |
| 3 | 3.01 | 3.12 | 0.00 | 3.76 | 3.36 | 2.18 | 3.64 | 2.88 | 3.72 | 2.28 | 3.35 | 4.99 |
| 4 | 2.79 | 3.72 | 3.76 | 0.00 | 3.09 | 3.30 | 3.34 | 3.39 | 2.94 | 3.56 | 2.81 | 3.82 |
| 5 | 2.54 | 3.38 | 3.36 | 3.09 | 0.00 | 2.93 | 2.43 | 2.60 | 2.78 | 2.63 | 2.92 | 3.94 |
| 6 | 2.53 | 2.54 | 2.18 | 3.30 | 2.93 | 0.00 | 3.45 | 2.47 | 3.19 | 2.49 | 2.91 | 4.62 |
| 7 | 2.86 | 3.92 | 3.64 | 3.34 | 2.43 | 3.45 | 0.00 | 2.70 | 2.56 | 3.03 | 2.82 | 2.97 |
| 8 | 2.56 | 2.57 | 2.88 | 3.39 | 2.60 | 2.47 | 2.70 | 0.00 | 2.38 | 2.28 | 2.36 | 3.83 |
| 9 | 2.72 | 3.41 | 3.72 | 2.94 | 2.78 | 3.19 | 2.56 | 2.38 | 0.00 | 3.19 | 2.30 | 3.08 |
| 10 | 2.64 | 2.98 | 2.28 | 3.56 | 2.63 | 2.49 | 3.03 | 2.28 | 3.19 | 0.00 | 3.07 | 4.47 |
| 11 | 2.75 | 3.00 | 3.35 | 2.81 | 2.92 | 2.91 | 2.82 | 2.36 | 2.30 | 3.07 | 0.00 | 2.74 |
| 12 | 4.09 | 4.88 | 4.99 | 3.82 | 3.94 | 4.62 | 2.97 | 3.83 | 3.08 | 4.47 | 2.74 | 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 | 0.69 | 0.67 | 0.69 | 0.71 | 0.72 | 0.71 | 0.69 | 0.69 | 0.64 |
| 2 | 0.71 | 1.00 | 0.71 | 0.64 | 0.65 | 0.70 | 0.69 | 0.79 | 0.74 | 0.69 | 0.78 | 0.69 |
| 3 | 0.67 | 0.71 | 1.00 | 0.63 | 0.63 | 0.79 | 0.68 | 0.71 | 0.65 | 0.79 | 0.69 | 0.64 |
| 4 | 0.69 | 0.64 | 0.63 | 1.00 | 0.69 | 0.64 | 0.68 | 0.67 | 0.66 | 0.67 | 0.65 | 0.62 |
| 5 | 0.67 | 0.65 | 0.63 | 0.69 | 1.00 | 0.68 | 0.69 | 0.68 | 0.66 | 0.68 | 0.65 | 0.59 |
| 6 | 0.69 | 0.70 | 0.79 | 0.64 | 0.68 | 1.00 | 0.73 | 0.75 | 0.67 | 0.76 | 0.68 | 0.66 |
| 7 | 0.71 | 0.69 | 0.68 | 0.68 | 0.69 | 0.73 | 1.00 | 0.74 | 0.69 | 0.76 | 0.69 | 0.70 |
| 8 | 0.72 | 0.79 | 0.71 | 0.67 | 0.68 | 0.75 | 0.74 | 1.00 | 0.75 | 0.74 | 0.80 | 0.73 |
| 9 | 0.71 | 0.74 | 0.65 | 0.66 | 0.66 | 0.67 | 0.69 | 0.75 | 1.00 | 0.68 | 0.76 | 0.72 |
| 10 | 0.69 | 0.69 | 0.79 | 0.67 | 0.68 | 0.76 | 0.76 | 0.74 | 0.68 | 1.00 | 0.69 | 0.66 |
| 11 | 0.69 | 0.78 | 0.69 | 0.65 | 0.65 | 0.68 | 0.69 | 0.80 | 0.76 | 0.69 | 1.00 | 0.81 |
| 12 | 0.64 | 0.69 | 0.64 | 0.62 | 0.59 | 0.66 | 0.70 | 0.73 | 0.72 | 0.66 | 0.81 | 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