| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 146.7 | 144.7 | 124.2 | 115.8 | 110.4 | 103.4 | 103.0 | 96.7 | 91.5 | 87.2 | 47.3 | 39.4 |
| Cluster size | 250 | 240 | 208 | 181 | 188 | 170 | 175 | 155 | 157 | 147 | 71 | 58 |
| Average cluster RMSD | 1.7 | 1.7 | 1.7 | 1.6 | 1.7 | 1.6 | 1.7 | 1.6 | 1.7 | 1.7 | 1.5 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.25 | 6.42 | 6.13 | 5.55 | 5.51 | 5.35 | 4.68 | 6.75 | 4.03 | 4.19 | 5.07 | 4.26 |
| GDT_TS | 0.50 | 0.51 | 0.52 | 0.52 | 0.53 | 0.54 | 0.57 | 0.50 | 0.59 | 0.58 | 0.56 | 0.57 |
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 | 3.15 | 2.80 | 3.86 | 3.72 | 3.92 | 4.68 | 4.20 | 5.44 | 4.75 | 4.98 | 5.22 |
| 2 | 3.15 | 0.00 | 3.04 | 3.06 | 3.09 | 3.52 | 3.85 | 3.29 | 4.74 | 4.10 | 4.00 | 4.46 |
| 3 | 2.80 | 3.04 | 0.00 | 3.49 | 3.17 | 3.28 | 3.88 | 4.51 | 4.62 | 3.84 | 4.22 | 4.38 |
| 4 | 3.86 | 3.06 | 3.49 | 0.00 | 2.80 | 3.10 | 2.94 | 3.31 | 3.90 | 3.24 | 3.67 | 4.13 |
| 5 | 3.72 | 3.09 | 3.17 | 2.80 | 0.00 | 3.05 | 3.30 | 3.97 | 3.75 | 3.47 | 3.56 | 3.77 |
| 6 | 3.92 | 3.52 | 3.28 | 3.10 | 3.05 | 0.00 | 3.09 | 4.22 | 3.52 | 2.95 | 3.57 | 3.71 |
| 7 | 4.68 | 3.85 | 3.88 | 2.94 | 3.30 | 3.09 | 0.00 | 4.36 | 3.40 | 2.82 | 3.66 | 3.75 |
| 8 | 4.20 | 3.29 | 4.51 | 3.31 | 3.97 | 4.22 | 4.36 | 0.00 | 5.03 | 4.62 | 4.57 | 4.99 |
| 9 | 5.44 | 4.74 | 4.62 | 3.90 | 3.75 | 3.52 | 3.40 | 5.03 | 0.00 | 3.15 | 3.74 | 3.08 |
| 10 | 4.75 | 4.10 | 3.84 | 3.24 | 3.47 | 2.95 | 2.82 | 4.62 | 3.15 | 0.00 | 3.49 | 3.59 |
| 11 | 4.98 | 4.00 | 4.22 | 3.67 | 3.56 | 3.57 | 3.66 | 4.57 | 3.74 | 3.49 | 0.00 | 3.68 |
| 12 | 5.22 | 4.46 | 4.38 | 4.13 | 3.77 | 3.71 | 3.75 | 4.99 | 3.08 | 3.59 | 3.68 | 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 | 0.65 | 0.70 | 0.64 | 0.65 | 0.58 | 0.59 | 0.62 | 0.53 | 0.59 | 0.57 | 0.53 |
| 2 | 0.65 | 1.00 | 0.66 | 0.68 | 0.65 | 0.61 | 0.61 | 0.68 | 0.58 | 0.60 | 0.60 | 0.57 |
| 3 | 0.70 | 0.66 | 1.00 | 0.64 | 0.64 | 0.61 | 0.59 | 0.60 | 0.53 | 0.60 | 0.60 | 0.53 |
| 4 | 0.64 | 0.68 | 0.64 | 1.00 | 0.70 | 0.65 | 0.66 | 0.64 | 0.60 | 0.66 | 0.64 | 0.57 |
| 5 | 0.65 | 0.65 | 0.64 | 0.70 | 1.00 | 0.65 | 0.61 | 0.61 | 0.59 | 0.63 | 0.62 | 0.58 |
| 6 | 0.58 | 0.61 | 0.61 | 0.65 | 0.65 | 1.00 | 0.64 | 0.58 | 0.61 | 0.67 | 0.62 | 0.59 |
| 7 | 0.59 | 0.61 | 0.59 | 0.66 | 0.61 | 0.64 | 1.00 | 0.59 | 0.61 | 0.67 | 0.66 | 0.59 |
| 8 | 0.62 | 0.68 | 0.60 | 0.64 | 0.61 | 0.58 | 0.59 | 1.00 | 0.55 | 0.57 | 0.57 | 0.54 |
| 9 | 0.53 | 0.58 | 0.53 | 0.60 | 0.59 | 0.61 | 0.61 | 0.55 | 1.00 | 0.64 | 0.60 | 0.68 |
| 10 | 0.59 | 0.60 | 0.60 | 0.66 | 0.63 | 0.67 | 0.67 | 0.57 | 0.64 | 1.00 | 0.65 | 0.60 |
| 11 | 0.57 | 0.60 | 0.60 | 0.64 | 0.62 | 0.62 | 0.66 | 0.57 | 0.60 | 0.65 | 1.00 | 0.59 |
| 12 | 0.53 | 0.57 | 0.53 | 0.57 | 0.58 | 0.59 | 0.59 | 0.54 | 0.68 | 0.60 | 0.59 | 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