| Project Name | 9 |
| Project Name | 9 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 440.3 | 321.2 | 255.4 | 215.8 | 204.9 | 190.0 | 161.0 | 103.4 | 101.9 | 93.9 | 75.5 | 70.4 |
| Cluster size | 362 | 275 | 226 | 218 | 177 | 161 | 184 | 107 | 70 | 80 | 77 | 63 |
| Average cluster RMSD | 0.8 | 0.9 | 0.9 | 1.0 | 0.9 | 0.8 | 1.1 | 1.0 | 0.7 | 0.9 | 1.0 | 0.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.03 | 0.93 | 5.32 | 6.59 | 5.69 | 5.46 | 4.77 | 6.23 | 5.05 | 5.61 | 4.69 | 6.73 |
| GDT_TS | 0.56 | 0.92 | 0.55 | 0.53 | 0.53 | 0.56 | 0.57 | 0.56 | 0.66 | 0.57 | 0.65 | 0.49 |
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 | 4.94 | 2.88 | 3.02 | 2.89 | 0.90 | 1.43 | 2.60 | 4.19 | 3.50 | 3.97 | 4.49 |
| 2 | 4.94 | 0.00 | 5.45 | 6.46 | 5.78 | 5.43 | 4.80 | 6.09 | 4.85 | 5.64 | 4.52 | 6.63 |
| 3 | 2.88 | 5.45 | 0.00 | 4.15 | 0.90 | 2.78 | 2.11 | 4.00 | 3.52 | 3.19 | 3.76 | 3.14 |
| 4 | 3.02 | 6.46 | 4.15 | 0.00 | 3.86 | 2.62 | 3.94 | 1.00 | 4.19 | 2.38 | 3.95 | 4.53 |
| 5 | 2.89 | 5.78 | 0.90 | 3.86 | 0.00 | 2.69 | 2.39 | 3.84 | 3.61 | 3.17 | 3.86 | 2.76 |
| 6 | 0.90 | 5.43 | 2.78 | 2.62 | 2.69 | 0.00 | 1.77 | 2.28 | 4.16 | 3.10 | 3.91 | 4.26 |
| 7 | 1.43 | 4.80 | 2.11 | 3.94 | 2.39 | 1.77 | 0.00 | 3.57 | 3.96 | 3.66 | 3.89 | 4.29 |
| 8 | 2.60 | 6.09 | 4.00 | 1.00 | 3.84 | 2.28 | 3.57 | 0.00 | 4.10 | 2.49 | 3.90 | 4.54 |
| 9 | 4.19 | 4.85 | 3.52 | 4.19 | 3.61 | 4.16 | 3.96 | 4.10 | 0.00 | 3.09 | 1.54 | 3.46 |
| 10 | 3.50 | 5.64 | 3.19 | 2.38 | 3.17 | 3.10 | 3.66 | 2.49 | 3.09 | 0.00 | 2.72 | 4.16 |
| 11 | 3.97 | 4.52 | 3.76 | 3.95 | 3.86 | 3.91 | 3.89 | 3.90 | 1.54 | 2.72 | 0.00 | 3.98 |
| 12 | 4.49 | 6.63 | 3.14 | 4.53 | 2.76 | 4.26 | 4.29 | 4.54 | 3.46 | 4.16 | 3.98 | 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 | 0.55 | 0.81 | 0.78 | 0.78 | 0.95 | 0.86 | 0.78 | 0.62 | 0.73 | 0.65 | 0.66 |
| 2 | 0.55 | 1.00 | 0.56 | 0.56 | 0.55 | 0.52 | 0.58 | 0.55 | 0.70 | 0.58 | 0.68 | 0.51 |
| 3 | 0.81 | 0.56 | 1.00 | 0.70 | 0.94 | 0.81 | 0.83 | 0.70 | 0.67 | 0.76 | 0.68 | 0.77 |
| 4 | 0.78 | 0.56 | 0.70 | 1.00 | 0.74 | 0.77 | 0.73 | 0.94 | 0.60 | 0.81 | 0.64 | 0.60 |
| 5 | 0.78 | 0.55 | 0.94 | 0.74 | 1.00 | 0.78 | 0.77 | 0.69 | 0.70 | 0.77 | 0.67 | 0.78 |
| 6 | 0.95 | 0.52 | 0.81 | 0.77 | 0.78 | 1.00 | 0.82 | 0.80 | 0.62 | 0.73 | 0.65 | 0.67 |
| 7 | 0.86 | 0.58 | 0.83 | 0.73 | 0.77 | 0.82 | 1.00 | 0.75 | 0.64 | 0.71 | 0.66 | 0.65 |
| 8 | 0.78 | 0.55 | 0.70 | 0.94 | 0.69 | 0.80 | 0.75 | 1.00 | 0.61 | 0.75 | 0.64 | 0.59 |
| 9 | 0.62 | 0.70 | 0.67 | 0.60 | 0.70 | 0.62 | 0.64 | 0.61 | 1.00 | 0.71 | 0.96 | 0.77 |
| 10 | 0.73 | 0.58 | 0.76 | 0.81 | 0.77 | 0.73 | 0.71 | 0.75 | 0.71 | 1.00 | 0.76 | 0.65 |
| 11 | 0.65 | 0.68 | 0.68 | 0.64 | 0.67 | 0.65 | 0.66 | 0.64 | 0.96 | 0.76 | 1.00 | 0.73 |
| 12 | 0.66 | 0.51 | 0.77 | 0.60 | 0.78 | 0.67 | 0.65 | 0.59 | 0.77 | 0.65 | 0.73 | 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