| Project Name | 56 |
| Project Name | 56 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 158.9 | 148.9 | 143.7 | 102.9 | 99.7 | 95.9 | 91.2 | 89.5 | 66.6 | 59.6 | 52.4 | 28.6 |
| Cluster size | 240 | 228 | 270 | 204 | 126 | 119 | 182 | 196 | 112 | 120 | 136 | 67 |
| Average cluster RMSD | 1.5 | 1.5 | 1.9 | 2.0 | 1.3 | 1.2 | 2.0 | 2.2 | 1.7 | 2.0 | 2.6 | 2.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.10 | 3.56 | 3.25 | 2.94 | 4.45 | 2.92 | 4.32 | 2.82 | 4.24 | 3.68 | 3.12 | 4.02 |
| GDT_TS | 0.55 | 0.61 | 0.66 | 0.68 | 0.54 | 0.73 | 0.60 | 0.71 | 0.57 | 0.58 | 0.67 | 0.69 |
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 | 1.51 | 1.63 | 2.73 | 1.85 | 3.83 | 2.39 | 3.62 | 2.16 | 1.62 | 3.23 | 3.69 |
| 2 | 1.51 | 0.00 | 1.83 | 2.36 | 2.24 | 3.21 | 3.40 | 2.91 | 2.35 | 2.09 | 2.94 | 3.53 |
| 3 | 1.63 | 1.83 | 0.00 | 2.43 | 2.21 | 3.23 | 2.05 | 3.03 | 2.36 | 1.67 | 2.65 | 3.61 |
| 4 | 2.73 | 2.36 | 2.43 | 0.00 | 3.88 | 1.57 | 3.67 | 1.95 | 3.76 | 3.01 | 2.06 | 2.72 |
| 5 | 1.85 | 2.24 | 2.21 | 3.88 | 0.00 | 4.61 | 2.67 | 4.06 | 1.69 | 2.00 | 3.90 | 4.87 |
| 6 | 3.83 | 3.21 | 3.23 | 1.57 | 4.61 | 0.00 | 4.49 | 1.44 | 4.48 | 3.85 | 2.42 | 3.39 |
| 7 | 2.39 | 3.40 | 2.05 | 3.67 | 2.67 | 4.49 | 0.00 | 4.42 | 2.95 | 2.40 | 3.77 | 4.40 |
| 8 | 3.62 | 2.91 | 3.03 | 1.95 | 4.06 | 1.44 | 4.42 | 0.00 | 3.99 | 3.43 | 2.47 | 3.87 |
| 9 | 2.16 | 2.35 | 2.36 | 3.76 | 1.69 | 4.48 | 2.95 | 3.99 | 0.00 | 2.40 | 3.35 | 4.22 |
| 10 | 1.62 | 2.09 | 1.67 | 3.01 | 2.00 | 3.85 | 2.40 | 3.43 | 2.40 | 0.00 | 3.46 | 4.37 |
| 11 | 3.23 | 2.94 | 2.65 | 2.06 | 3.90 | 2.42 | 3.77 | 2.47 | 3.35 | 3.46 | 0.00 | 2.71 |
| 12 | 3.69 | 3.53 | 3.61 | 2.72 | 4.87 | 3.39 | 4.40 | 3.87 | 4.22 | 4.37 | 2.71 | 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 | 0.86 | 0.83 | 0.74 | 0.83 | 0.66 | 0.83 | 0.69 | 0.85 | 0.91 | 0.73 | 0.68 |
| 2 | 0.86 | 1.00 | 0.85 | 0.83 | 0.78 | 0.71 | 0.70 | 0.72 | 0.83 | 0.81 | 0.75 | 0.78 |
| 3 | 0.83 | 0.85 | 1.00 | 0.81 | 0.77 | 0.71 | 0.78 | 0.77 | 0.78 | 0.87 | 0.79 | 0.76 |
| 4 | 0.74 | 0.83 | 0.81 | 1.00 | 0.69 | 0.86 | 0.68 | 0.88 | 0.74 | 0.75 | 0.90 | 0.85 |
| 5 | 0.83 | 0.78 | 0.77 | 0.69 | 1.00 | 0.62 | 0.74 | 0.65 | 0.88 | 0.78 | 0.68 | 0.63 |
| 6 | 0.66 | 0.71 | 0.71 | 0.86 | 0.62 | 1.00 | 0.63 | 0.91 | 0.70 | 0.65 | 0.88 | 0.80 |
| 7 | 0.83 | 0.70 | 0.78 | 0.68 | 0.74 | 0.63 | 1.00 | 0.70 | 0.70 | 0.82 | 0.63 | 0.64 |
| 8 | 0.69 | 0.72 | 0.77 | 0.88 | 0.65 | 0.91 | 0.70 | 1.00 | 0.71 | 0.71 | 0.93 | 0.77 |
| 9 | 0.85 | 0.83 | 0.78 | 0.74 | 0.88 | 0.70 | 0.70 | 0.71 | 1.00 | 0.82 | 0.75 | 0.69 |
| 10 | 0.91 | 0.81 | 0.87 | 0.75 | 0.78 | 0.65 | 0.82 | 0.71 | 0.82 | 1.00 | 0.71 | 0.71 |
| 11 | 0.73 | 0.75 | 0.79 | 0.90 | 0.68 | 0.88 | 0.63 | 0.93 | 0.75 | 0.71 | 1.00 | 0.81 |
| 12 | 0.68 | 0.78 | 0.76 | 0.85 | 0.63 | 0.80 | 0.64 | 0.77 | 0.69 | 0.71 | 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