| Project Name | IndividualF |
| Project Name | IndividualF |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 125.8 | 125.4 | 118.2 | 105.2 | 100.0 | 98.8 | 95.4 | 91.6 | 55.1 | 52.7 | 44.9 | 44.3 |
| Cluster size | 246 | 232 | 187 | 187 | 202 | 214 | 196 | 107 | 119 | 109 | 99 | 102 |
| Average cluster RMSD | 2.0 | 1.9 | 1.6 | 1.8 | 2.0 | 2.2 | 2.1 | 1.2 | 2.2 | 2.1 | 2.2 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.47 | 5.18 | 5.16 | 4.31 | 4.91 | 4.99 | 5.00 | 5.86 | 3.99 | 5.14 | 4.70 | 5.11 |
| GDT_TS | 0.57 | 0.56 | 0.59 | 0.58 | 0.59 | 0.59 | 0.57 | 0.59 | 0.61 | 0.58 | 0.56 | 0.59 |
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 | 2.13 | 3.87 | 2.84 | 1.39 | 1.32 | 3.16 | 4.34 | 3.44 | 2.30 | 1.37 | 2.47 |
| 2 | 2.13 | 0.00 | 4.12 | 3.49 | 2.33 | 2.15 | 2.63 | 4.28 | 2.92 | 1.55 | 2.52 | 2.28 |
| 3 | 3.87 | 4.12 | 0.00 | 2.78 | 3.32 | 3.41 | 3.22 | 1.85 | 4.48 | 4.24 | 3.45 | 3.49 |
| 4 | 2.84 | 3.49 | 2.78 | 0.00 | 2.04 | 2.36 | 2.38 | 3.69 | 3.49 | 3.67 | 2.44 | 3.13 |
| 5 | 1.39 | 2.33 | 3.32 | 2.04 | 0.00 | 0.57 | 2.36 | 4.03 | 3.42 | 2.58 | 0.93 | 2.11 |
| 6 | 1.32 | 2.15 | 3.41 | 2.36 | 0.57 | 0.00 | 2.27 | 4.07 | 3.41 | 2.41 | 1.08 | 1.92 |
| 7 | 3.16 | 2.63 | 3.22 | 2.38 | 2.36 | 2.27 | 0.00 | 3.45 | 3.08 | 2.99 | 2.81 | 1.99 |
| 8 | 4.34 | 4.28 | 1.85 | 3.69 | 4.03 | 4.07 | 3.45 | 0.00 | 4.27 | 4.49 | 3.94 | 3.71 |
| 9 | 3.44 | 2.92 | 4.48 | 3.49 | 3.42 | 3.41 | 3.08 | 4.27 | 0.00 | 2.54 | 3.46 | 3.18 |
| 10 | 2.30 | 1.55 | 4.24 | 3.67 | 2.58 | 2.41 | 2.99 | 4.49 | 2.54 | 0.00 | 2.55 | 2.54 |
| 11 | 1.37 | 2.52 | 3.45 | 2.44 | 0.93 | 1.08 | 2.81 | 3.94 | 3.46 | 2.55 | 0.00 | 2.42 |
| 12 | 2.47 | 2.28 | 3.49 | 3.13 | 2.11 | 1.92 | 1.99 | 3.71 | 3.18 | 2.54 | 2.42 | 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 | 0.74 | 0.63 | 0.75 | 0.86 | 0.88 | 0.72 | 0.56 | 0.61 | 0.75 | 0.86 | 0.75 |
| 2 | 0.74 | 1.00 | 0.56 | 0.62 | 0.73 | 0.74 | 0.74 | 0.56 | 0.68 | 0.81 | 0.72 | 0.74 |
| 3 | 0.63 | 0.56 | 1.00 | 0.69 | 0.67 | 0.64 | 0.69 | 0.78 | 0.65 | 0.58 | 0.64 | 0.66 |
| 4 | 0.75 | 0.62 | 0.69 | 1.00 | 0.82 | 0.79 | 0.70 | 0.62 | 0.70 | 0.67 | 0.81 | 0.68 |
| 5 | 0.86 | 0.73 | 0.67 | 0.82 | 1.00 | 0.99 | 0.73 | 0.59 | 0.65 | 0.73 | 0.94 | 0.81 |
| 6 | 0.88 | 0.74 | 0.64 | 0.79 | 0.99 | 1.00 | 0.76 | 0.57 | 0.68 | 0.75 | 0.92 | 0.85 |
| 7 | 0.72 | 0.74 | 0.69 | 0.70 | 0.73 | 0.76 | 1.00 | 0.62 | 0.67 | 0.75 | 0.74 | 0.84 |
| 8 | 0.56 | 0.56 | 0.78 | 0.62 | 0.59 | 0.57 | 0.62 | 1.00 | 0.56 | 0.54 | 0.59 | 0.59 |
| 9 | 0.61 | 0.68 | 0.65 | 0.70 | 0.65 | 0.68 | 0.67 | 0.56 | 1.00 | 0.74 | 0.62 | 0.64 |
| 10 | 0.75 | 0.81 | 0.58 | 0.67 | 0.73 | 0.75 | 0.75 | 0.54 | 0.74 | 1.00 | 0.75 | 0.75 |
| 11 | 0.86 | 0.72 | 0.64 | 0.81 | 0.94 | 0.92 | 0.74 | 0.59 | 0.62 | 0.75 | 1.00 | 0.79 |
| 12 | 0.75 | 0.74 | 0.66 | 0.68 | 0.81 | 0.85 | 0.84 | 0.59 | 0.64 | 0.75 | 0.79 | 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