| Project Name | IndividualE |
| Project Name | IndividualE |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 161.7 | 132.4 | 129.1 | 121.1 | 109.7 | 107.8 | 89.1 | 80.1 | 76.7 | 72.2 | 46.6 | 32.3 |
| Cluster size | 217 | 246 | 236 | 143 | 230 | 179 | 194 | 146 | 95 | 145 | 95 | 74 |
| Average cluster RMSD | 1.3 | 1.9 | 1.8 | 1.2 | 2.1 | 1.7 | 2.2 | 1.8 | 1.2 | 2.0 | 2.0 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.92 | 3.79 | 3.70 | 2.34 | 4.08 | 4.66 | 3.23 | 4.91 | 3.93 | 4.29 | 1.95 | 3.88 |
| GDT_TS | 0.50 | 0.55 | 0.65 | 0.74 | 0.58 | 0.50 | 0.65 | 0.56 | 0.55 | 0.57 | 0.76 | 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 | 3.04 | 3.44 | 4.56 | 3.34 | 1.32 | 3.74 | 2.70 | 3.34 | 3.26 | 4.63 | 3.12 |
| 2 | 3.04 | 0.00 | 2.22 | 3.51 | 2.63 | 3.57 | 1.72 | 2.39 | 1.28 | 2.16 | 3.63 | 1.67 |
| 3 | 3.44 | 2.22 | 0.00 | 2.33 | 1.64 | 3.58 | 1.35 | 1.91 | 2.76 | 1.19 | 3.22 | 1.19 |
| 4 | 4.56 | 3.51 | 2.33 | 0.00 | 2.63 | 3.88 | 2.32 | 3.42 | 4.03 | 2.70 | 1.69 | 2.84 |
| 5 | 3.34 | 2.63 | 1.64 | 2.63 | 0.00 | 2.92 | 1.87 | 1.32 | 3.18 | 1.50 | 3.35 | 1.78 |
| 6 | 1.32 | 3.57 | 3.58 | 3.88 | 2.92 | 0.00 | 4.05 | 2.48 | 3.99 | 3.02 | 4.21 | 3.36 |
| 7 | 3.74 | 1.72 | 1.35 | 2.32 | 1.87 | 4.05 | 0.00 | 2.21 | 2.24 | 1.75 | 2.69 | 1.00 |
| 8 | 2.70 | 2.39 | 1.91 | 3.42 | 1.32 | 2.48 | 2.21 | 0.00 | 2.93 | 1.63 | 4.22 | 1.78 |
| 9 | 3.34 | 1.28 | 2.76 | 4.03 | 3.18 | 3.99 | 2.24 | 2.93 | 0.00 | 2.88 | 3.88 | 2.29 |
| 10 | 3.26 | 2.16 | 1.19 | 2.70 | 1.50 | 3.02 | 1.75 | 1.63 | 2.88 | 0.00 | 3.55 | 1.32 |
| 11 | 4.63 | 3.63 | 3.22 | 1.69 | 3.35 | 4.21 | 2.69 | 4.22 | 3.88 | 3.55 | 0.00 | 3.34 |
| 12 | 3.12 | 1.67 | 1.19 | 2.84 | 1.78 | 3.36 | 1.00 | 1.78 | 2.29 | 1.32 | 3.34 | 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 | 0.69 | 0.68 | 0.62 | 0.67 | 0.88 | 0.66 | 0.73 | 0.68 | 0.71 | 0.53 | 0.70 |
| 2 | 0.69 | 1.00 | 0.80 | 0.67 | 0.76 | 0.64 | 0.83 | 0.76 | 0.91 | 0.82 | 0.59 | 0.83 |
| 3 | 0.68 | 0.80 | 1.00 | 0.79 | 0.82 | 0.64 | 0.86 | 0.81 | 0.76 | 0.94 | 0.68 | 0.91 |
| 4 | 0.62 | 0.67 | 0.79 | 1.00 | 0.74 | 0.64 | 0.80 | 0.68 | 0.65 | 0.77 | 0.82 | 0.78 |
| 5 | 0.67 | 0.76 | 0.82 | 0.74 | 1.00 | 0.73 | 0.83 | 0.92 | 0.72 | 0.84 | 0.63 | 0.80 |
| 6 | 0.88 | 0.64 | 0.64 | 0.64 | 0.73 | 1.00 | 0.65 | 0.78 | 0.67 | 0.69 | 0.57 | 0.68 |
| 7 | 0.66 | 0.83 | 0.86 | 0.80 | 0.83 | 0.65 | 1.00 | 0.77 | 0.80 | 0.83 | 0.70 | 0.94 |
| 8 | 0.73 | 0.76 | 0.81 | 0.68 | 0.92 | 0.78 | 0.77 | 1.00 | 0.72 | 0.84 | 0.58 | 0.81 |
| 9 | 0.68 | 0.91 | 0.76 | 0.65 | 0.72 | 0.67 | 0.80 | 0.72 | 1.00 | 0.77 | 0.60 | 0.82 |
| 10 | 0.71 | 0.82 | 0.94 | 0.77 | 0.84 | 0.69 | 0.83 | 0.84 | 0.77 | 1.00 | 0.65 | 0.91 |
| 11 | 0.53 | 0.59 | 0.68 | 0.82 | 0.63 | 0.57 | 0.70 | 0.58 | 0.60 | 0.65 | 1.00 | 0.66 |
| 12 | 0.70 | 0.83 | 0.91 | 0.78 | 0.80 | 0.68 | 0.94 | 0.81 | 0.82 | 0.91 | 0.66 | 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