| Project Name | IndividuaD |
| Project Name | IndividuaD |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 166.6 | 144.2 | 133.8 | 128.2 | 127.9 | 118.6 | 106.2 | 102.0 | 93.8 | 79.7 | 56.9 | 26.3 |
| Cluster size | 287 | 172 | 248 | 156 | 224 | 185 | 152 | 139 | 173 | 87 | 113 | 64 |
| Average cluster RMSD | 1.7 | 1.2 | 1.9 | 1.2 | 1.8 | 1.6 | 1.4 | 1.4 | 1.8 | 1.1 | 2.0 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.74 | 5.78 | 4.59 | 5.93 | 4.47 | 4.34 | 4.15 | 4.80 | 4.97 | 4.82 | 5.10 | 4.01 |
| GDT_TS | 0.54 | 0.45 | 0.60 | 0.45 | 0.52 | 0.64 | 0.64 | 0.48 | 0.63 | 0.53 | 0.48 | 0.48 |
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 | 6.60 | 2.78 | 6.58 | 4.70 | 3.48 | 3.01 | 3.73 | 3.21 | 5.23 | 4.11 | 5.49 |
| 2 | 6.60 | 0.00 | 7.49 | 4.66 | 5.97 | 7.56 | 6.32 | 6.60 | 7.87 | 3.20 | 5.59 | 5.25 |
| 3 | 2.78 | 7.49 | 0.00 | 5.70 | 4.07 | 1.63 | 2.37 | 4.27 | 1.73 | 5.34 | 3.97 | 4.39 |
| 4 | 6.58 | 4.66 | 5.70 | 0.00 | 5.44 | 6.22 | 5.73 | 5.43 | 6.39 | 4.12 | 3.71 | 4.53 |
| 5 | 4.70 | 5.97 | 4.07 | 5.44 | 0.00 | 4.47 | 4.47 | 3.92 | 4.84 | 4.27 | 3.87 | 2.41 |
| 6 | 3.48 | 7.56 | 1.63 | 6.22 | 4.47 | 0.00 | 2.15 | 4.88 | 0.93 | 5.49 | 4.62 | 4.67 |
| 7 | 3.01 | 6.32 | 2.37 | 5.73 | 4.47 | 2.15 | 0.00 | 4.44 | 2.31 | 4.91 | 4.11 | 4.99 |
| 8 | 3.73 | 6.60 | 4.27 | 5.43 | 3.92 | 4.88 | 4.44 | 0.00 | 4.55 | 5.20 | 2.50 | 4.56 |
| 9 | 3.21 | 7.87 | 1.73 | 6.39 | 4.84 | 0.93 | 2.31 | 4.55 | 0.00 | 5.90 | 4.57 | 5.02 |
| 10 | 5.23 | 3.20 | 5.34 | 4.12 | 4.27 | 5.49 | 4.91 | 5.20 | 5.90 | 0.00 | 3.77 | 3.88 |
| 11 | 4.11 | 5.59 | 3.97 | 3.71 | 3.87 | 4.62 | 4.11 | 2.50 | 4.57 | 3.77 | 0.00 | 3.91 |
| 12 | 5.49 | 5.25 | 4.39 | 4.53 | 2.41 | 4.67 | 4.99 | 4.56 | 5.02 | 3.88 | 3.91 | 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 | 0.43 | 0.73 | 0.41 | 0.67 | 0.66 | 0.70 | 0.58 | 0.65 | 0.43 | 0.54 | 0.59 |
| 2 | 0.43 | 1.00 | 0.44 | 0.75 | 0.46 | 0.41 | 0.45 | 0.47 | 0.40 | 0.67 | 0.54 | 0.52 |
| 3 | 0.73 | 0.44 | 1.00 | 0.43 | 0.65 | 0.81 | 0.73 | 0.58 | 0.78 | 0.48 | 0.54 | 0.65 |
| 4 | 0.41 | 0.75 | 0.43 | 1.00 | 0.55 | 0.42 | 0.42 | 0.59 | 0.41 | 0.63 | 0.68 | 0.58 |
| 5 | 0.67 | 0.46 | 0.65 | 0.55 | 1.00 | 0.62 | 0.52 | 0.71 | 0.58 | 0.57 | 0.63 | 0.71 |
| 6 | 0.66 | 0.41 | 0.81 | 0.42 | 0.62 | 1.00 | 0.77 | 0.55 | 0.93 | 0.44 | 0.51 | 0.56 |
| 7 | 0.70 | 0.45 | 0.73 | 0.42 | 0.52 | 0.77 | 1.00 | 0.48 | 0.76 | 0.48 | 0.52 | 0.53 |
| 8 | 0.58 | 0.47 | 0.58 | 0.59 | 0.71 | 0.55 | 0.48 | 1.00 | 0.54 | 0.56 | 0.72 | 0.64 |
| 9 | 0.65 | 0.40 | 0.78 | 0.41 | 0.58 | 0.93 | 0.76 | 0.54 | 1.00 | 0.45 | 0.51 | 0.55 |
| 10 | 0.43 | 0.67 | 0.48 | 0.63 | 0.57 | 0.44 | 0.48 | 0.56 | 0.45 | 1.00 | 0.65 | 0.56 |
| 11 | 0.54 | 0.54 | 0.54 | 0.68 | 0.63 | 0.51 | 0.52 | 0.72 | 0.51 | 0.65 | 1.00 | 0.72 |
| 12 | 0.59 | 0.52 | 0.65 | 0.58 | 0.71 | 0.56 | 0.53 | 0.64 | 0.55 | 0.56 | 0.72 | 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