| Project Name | E135Fs |
| Project Name | E135Fs |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 313.6 | 220.1 | 218.6 | 171.4 | 167.4 | 130.6 | 124.1 | 123.8 | 121.8 | 118.1 | 67.1 | 61.7 |
| Cluster size | 295 | 221 | 263 | 181 | 180 | 150 | 129 | 164 | 127 | 151 | 73 | 66 |
| Average cluster RMSD | 0.9 | 1.0 | 1.2 | 1.1 | 1.1 | 1.1 | 1.0 | 1.3 | 1.0 | 1.3 | 1.1 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.64 | 5.98 | 6.47 | 8.01 | 6.80 | 7.26 | 6.27 | 6.14 | 6.22 | 7.86 | 5.75 | 6.94 |
| GDT_TS | 0.59 | 0.56 | 0.52 | 0.46 | 0.51 | 0.57 | 0.62 | 0.56 | 0.61 | 0.48 | 0.55 | 0.50 |
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 | 1.26 | 1.59 | 4.05 | 3.64 | 2.06 | 2.11 | 3.63 | 1.44 | 4.32 | 3.79 | 3.44 |
| 2 | 1.26 | 0.00 | 1.43 | 4.41 | 3.50 | 2.56 | 2.06 | 3.58 | 1.60 | 4.41 | 3.73 | 3.51 |
| 3 | 1.59 | 1.43 | 0.00 | 3.86 | 3.05 | 2.07 | 2.03 | 3.79 | 1.47 | 4.08 | 3.97 | 3.52 |
| 4 | 4.05 | 4.41 | 3.86 | 0.00 | 2.67 | 3.66 | 4.26 | 5.41 | 3.93 | 3.08 | 5.46 | 2.30 |
| 5 | 3.64 | 3.50 | 3.05 | 2.67 | 0.00 | 3.41 | 3.66 | 5.01 | 3.20 | 3.48 | 5.15 | 2.59 |
| 6 | 2.06 | 2.56 | 2.07 | 3.66 | 3.41 | 0.00 | 1.74 | 3.57 | 1.85 | 4.21 | 3.76 | 3.76 |
| 7 | 2.11 | 2.06 | 2.03 | 4.26 | 3.66 | 1.74 | 0.00 | 2.58 | 2.07 | 4.57 | 2.66 | 3.83 |
| 8 | 3.63 | 3.58 | 3.79 | 5.41 | 5.01 | 3.57 | 2.58 | 0.00 | 3.78 | 5.48 | 1.58 | 4.97 |
| 9 | 1.44 | 1.60 | 1.47 | 3.93 | 3.20 | 1.85 | 2.07 | 3.78 | 0.00 | 4.37 | 3.92 | 3.44 |
| 10 | 4.32 | 4.41 | 4.08 | 3.08 | 3.48 | 4.21 | 4.57 | 5.48 | 4.37 | 0.00 | 5.53 | 3.19 |
| 11 | 3.79 | 3.73 | 3.97 | 5.46 | 5.15 | 3.76 | 2.66 | 1.58 | 3.92 | 5.53 | 0.00 | 4.95 |
| 12 | 3.44 | 3.51 | 3.52 | 2.30 | 2.59 | 3.76 | 3.83 | 4.97 | 3.44 | 3.19 | 4.95 | 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 | 0.90 | 0.83 | 0.59 | 0.63 | 0.75 | 0.81 | 0.64 | 0.85 | 0.53 | 0.62 | 0.61 |
| 2 | 0.90 | 1.00 | 0.87 | 0.54 | 0.63 | 0.76 | 0.81 | 0.68 | 0.84 | 0.53 | 0.65 | 0.62 |
| 3 | 0.83 | 0.87 | 1.00 | 0.59 | 0.64 | 0.80 | 0.82 | 0.67 | 0.83 | 0.54 | 0.62 | 0.62 |
| 4 | 0.59 | 0.54 | 0.59 | 1.00 | 0.68 | 0.62 | 0.55 | 0.46 | 0.58 | 0.69 | 0.46 | 0.76 |
| 5 | 0.63 | 0.63 | 0.64 | 0.68 | 1.00 | 0.64 | 0.62 | 0.51 | 0.66 | 0.61 | 0.49 | 0.73 |
| 6 | 0.75 | 0.76 | 0.80 | 0.62 | 0.64 | 1.00 | 0.84 | 0.67 | 0.82 | 0.57 | 0.62 | 0.62 |
| 7 | 0.81 | 0.81 | 0.82 | 0.55 | 0.62 | 0.84 | 1.00 | 0.78 | 0.80 | 0.54 | 0.75 | 0.58 |
| 8 | 0.64 | 0.68 | 0.67 | 0.46 | 0.51 | 0.67 | 0.78 | 1.00 | 0.66 | 0.53 | 0.90 | 0.52 |
| 9 | 0.85 | 0.84 | 0.83 | 0.58 | 0.66 | 0.82 | 0.80 | 0.66 | 1.00 | 0.54 | 0.62 | 0.61 |
| 10 | 0.53 | 0.53 | 0.54 | 0.69 | 0.61 | 0.57 | 0.54 | 0.53 | 0.54 | 1.00 | 0.53 | 0.65 |
| 11 | 0.62 | 0.65 | 0.62 | 0.46 | 0.49 | 0.62 | 0.75 | 0.90 | 0.62 | 0.53 | 1.00 | 0.50 |
| 12 | 0.61 | 0.62 | 0.62 | 0.76 | 0.73 | 0.62 | 0.58 | 0.52 | 0.61 | 0.65 | 0.50 | 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