| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 147.5 | 105.8 | 101.2 | 97.5 | 95.0 | 93.7 | 79.5 | 76.4 | 73.8 | 57.3 | 57.2 | 54.8 |
| Cluster size | 283 | 208 | 187 | 194 | 205 | 187 | 148 | 138 | 152 | 101 | 89 | 108 |
| Average cluster RMSD | 1.9 | 2.0 | 1.8 | 2.0 | 2.2 | 2.0 | 1.9 | 1.8 | 2.1 | 1.8 | 1.6 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.45 | 3.14 | 2.78 | 3.06 | 2.87 | 2.83 | 3.20 | 3.66 | 3.07 | 3.24 | 3.38 | 4.29 |
| GDT_TS | 0.60 | 0.62 | 0.69 | 0.65 | 0.66 | 0.68 | 0.63 | 0.64 | 0.67 | 0.66 | 0.66 | 0.53 |
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 | 3.23 | 2.38 | 2.64 | 3.20 | 2.91 | 3.23 | 2.63 | 2.67 | 3.09 | 3.26 | 4.74 |
| 2 | 3.23 | 0.00 | 3.02 | 2.48 | 2.59 | 1.99 | 2.83 | 3.71 | 2.33 | 3.34 | 3.42 | 4.36 |
| 3 | 2.38 | 3.02 | 0.00 | 2.82 | 2.86 | 2.65 | 3.04 | 2.70 | 2.79 | 2.42 | 2.73 | 4.47 |
| 4 | 2.64 | 2.48 | 2.82 | 0.00 | 2.81 | 2.22 | 2.59 | 3.24 | 2.59 | 3.37 | 3.55 | 4.43 |
| 5 | 3.20 | 2.59 | 2.86 | 2.81 | 0.00 | 2.55 | 2.26 | 3.24 | 2.31 | 3.31 | 3.17 | 4.42 |
| 6 | 2.91 | 1.99 | 2.65 | 2.22 | 2.55 | 0.00 | 2.60 | 3.70 | 2.59 | 3.04 | 3.21 | 4.20 |
| 7 | 3.23 | 2.83 | 3.04 | 2.59 | 2.26 | 2.60 | 0.00 | 3.66 | 2.74 | 3.78 | 3.68 | 4.92 |
| 8 | 2.63 | 3.71 | 2.70 | 3.24 | 3.24 | 3.70 | 3.66 | 0.00 | 2.96 | 3.10 | 3.28 | 5.16 |
| 9 | 2.67 | 2.33 | 2.79 | 2.59 | 2.31 | 2.59 | 2.74 | 2.96 | 0.00 | 2.95 | 2.93 | 4.30 |
| 10 | 3.09 | 3.34 | 2.42 | 3.37 | 3.31 | 3.04 | 3.78 | 3.10 | 2.95 | 0.00 | 1.72 | 5.10 |
| 11 | 3.26 | 3.42 | 2.73 | 3.55 | 3.17 | 3.21 | 3.68 | 3.28 | 2.93 | 1.72 | 0.00 | 5.09 |
| 12 | 4.74 | 4.36 | 4.47 | 4.43 | 4.42 | 4.20 | 4.92 | 5.16 | 4.30 | 5.10 | 5.09 | 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 | 0.65 | 0.70 | 0.70 | 0.62 | 0.65 | 0.65 | 0.68 | 0.70 | 0.63 | 0.62 | 0.48 |
| 2 | 0.65 | 1.00 | 0.66 | 0.70 | 0.67 | 0.78 | 0.65 | 0.66 | 0.70 | 0.71 | 0.68 | 0.53 |
| 3 | 0.70 | 0.66 | 1.00 | 0.69 | 0.67 | 0.74 | 0.70 | 0.70 | 0.70 | 0.73 | 0.70 | 0.53 |
| 4 | 0.70 | 0.70 | 0.69 | 1.00 | 0.71 | 0.73 | 0.70 | 0.70 | 0.73 | 0.68 | 0.71 | 0.51 |
| 5 | 0.62 | 0.67 | 0.67 | 0.71 | 1.00 | 0.70 | 0.73 | 0.66 | 0.72 | 0.66 | 0.69 | 0.53 |
| 6 | 0.65 | 0.78 | 0.74 | 0.73 | 0.70 | 1.00 | 0.68 | 0.66 | 0.69 | 0.78 | 0.72 | 0.52 |
| 7 | 0.65 | 0.65 | 0.70 | 0.70 | 0.73 | 0.68 | 1.00 | 0.65 | 0.67 | 0.66 | 0.68 | 0.52 |
| 8 | 0.68 | 0.66 | 0.70 | 0.70 | 0.66 | 0.66 | 0.65 | 1.00 | 0.70 | 0.69 | 0.67 | 0.49 |
| 9 | 0.70 | 0.70 | 0.70 | 0.73 | 0.72 | 0.69 | 0.67 | 0.70 | 1.00 | 0.69 | 0.68 | 0.53 |
| 10 | 0.63 | 0.71 | 0.73 | 0.68 | 0.66 | 0.78 | 0.66 | 0.69 | 0.69 | 1.00 | 0.80 | 0.51 |
| 11 | 0.62 | 0.68 | 0.70 | 0.71 | 0.69 | 0.72 | 0.68 | 0.67 | 0.68 | 0.80 | 1.00 | 0.52 |
| 12 | 0.48 | 0.53 | 0.53 | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.53 | 0.51 | 0.52 | 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