| Project Name | E135Fs |
| Project Name | E135Fs |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 190.3 | 176.7 | 144.7 | 119.5 | 110.0 | 105.4 | 84.8 | 79.1 | 67.2 | 53.2 | 48.5 | 12.8 |
| Cluster size | 325 | 304 | 230 | 197 | 166 | 191 | 132 | 147 | 118 | 68 | 77 | 45 |
| Average cluster RMSD | 1.7 | 1.7 | 1.6 | 1.6 | 1.5 | 1.8 | 1.6 | 1.9 | 1.8 | 1.3 | 1.6 | 3.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.74 | 6.66 | 6.97 | 7.02 | 6.40 | 6.51 | 5.55 | 6.58 | 6.10 | 6.79 | 5.53 | 4.82 |
| GDT_TS | 0.46 | 0.47 | 0.49 | 0.48 | 0.53 | 0.51 | 0.48 | 0.49 | 0.52 | 0.45 | 0.50 | 0.54 |
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 | 1.80 | 4.22 | 4.23 | 1.70 | 1.73 | 5.44 | 1.99 | 3.89 | 2.18 | 4.92 | 5.58 |
| 2 | 1.80 | 0.00 | 4.30 | 4.62 | 2.39 | 2.27 | 5.34 | 2.83 | 4.39 | 2.25 | 4.69 | 5.31 |
| 3 | 4.22 | 4.30 | 0.00 | 2.38 | 3.50 | 3.72 | 7.53 | 4.87 | 2.84 | 4.92 | 7.07 | 7.29 |
| 4 | 4.23 | 4.62 | 2.38 | 0.00 | 3.39 | 3.98 | 7.21 | 4.72 | 2.46 | 4.84 | 6.76 | 7.32 |
| 5 | 1.70 | 2.39 | 3.50 | 3.39 | 0.00 | 1.72 | 5.41 | 2.36 | 3.33 | 2.96 | 4.96 | 5.55 |
| 6 | 1.73 | 2.27 | 3.72 | 3.98 | 1.72 | 0.00 | 5.37 | 2.32 | 3.41 | 3.05 | 5.05 | 5.45 |
| 7 | 5.44 | 5.34 | 7.53 | 7.21 | 5.41 | 5.37 | 0.00 | 5.21 | 6.76 | 5.59 | 3.15 | 2.72 |
| 8 | 1.99 | 2.83 | 4.87 | 4.72 | 2.36 | 2.32 | 5.21 | 0.00 | 4.22 | 2.57 | 5.08 | 5.21 |
| 9 | 3.89 | 4.39 | 2.84 | 2.46 | 3.33 | 3.41 | 6.76 | 4.22 | 0.00 | 4.61 | 6.22 | 6.56 |
| 10 | 2.18 | 2.25 | 4.92 | 4.84 | 2.96 | 3.05 | 5.59 | 2.57 | 4.61 | 0.00 | 4.89 | 5.56 |
| 11 | 4.92 | 4.69 | 7.07 | 6.76 | 4.96 | 5.05 | 3.15 | 5.08 | 6.22 | 4.89 | 0.00 | 4.04 |
| 12 | 5.58 | 5.31 | 7.29 | 7.32 | 5.55 | 5.45 | 2.72 | 5.21 | 6.56 | 5.56 | 4.04 | 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 | 0.81 | 0.63 | 0.53 | 0.78 | 0.79 | 0.54 | 0.75 | 0.59 | 0.77 | 0.58 | 0.57 |
| 2 | 0.81 | 1.00 | 0.61 | 0.51 | 0.70 | 0.73 | 0.53 | 0.71 | 0.53 | 0.75 | 0.55 | 0.58 |
| 3 | 0.63 | 0.61 | 1.00 | 0.75 | 0.65 | 0.62 | 0.45 | 0.56 | 0.70 | 0.59 | 0.48 | 0.50 |
| 4 | 0.53 | 0.51 | 0.75 | 1.00 | 0.62 | 0.59 | 0.46 | 0.56 | 0.79 | 0.52 | 0.51 | 0.51 |
| 5 | 0.78 | 0.70 | 0.65 | 0.62 | 1.00 | 0.79 | 0.55 | 0.71 | 0.64 | 0.67 | 0.62 | 0.59 |
| 6 | 0.79 | 0.73 | 0.62 | 0.59 | 0.79 | 1.00 | 0.56 | 0.76 | 0.63 | 0.65 | 0.64 | 0.62 |
| 7 | 0.54 | 0.53 | 0.45 | 0.46 | 0.55 | 0.56 | 1.00 | 0.56 | 0.49 | 0.52 | 0.70 | 0.74 |
| 8 | 0.75 | 0.71 | 0.56 | 0.56 | 0.71 | 0.76 | 0.56 | 1.00 | 0.63 | 0.72 | 0.62 | 0.60 |
| 9 | 0.59 | 0.53 | 0.70 | 0.79 | 0.64 | 0.63 | 0.49 | 0.63 | 1.00 | 0.57 | 0.56 | 0.54 |
| 10 | 0.77 | 0.75 | 0.59 | 0.52 | 0.67 | 0.65 | 0.52 | 0.72 | 0.57 | 1.00 | 0.53 | 0.52 |
| 11 | 0.58 | 0.55 | 0.48 | 0.51 | 0.62 | 0.64 | 0.70 | 0.62 | 0.56 | 0.53 | 1.00 | 0.65 |
| 12 | 0.57 | 0.58 | 0.50 | 0.51 | 0.59 | 0.62 | 0.74 | 0.60 | 0.54 | 0.52 | 0.65 | 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