| Project Name | 16DE |
| Project Name | 16DE |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 172.7 | 117.7 | 111.6 | 109.3 | 104.1 | 103.2 | 101.8 | 91.8 | 59.7 | 44.0 | 34.6 | 26.8 |
| Cluster size | 345 | 169 | 269 | 224 | 232 | 142 | 200 | 131 | 63 | 97 | 84 | 44 |
| Average cluster RMSD | 2.0 | 1.4 | 2.4 | 2.0 | 2.2 | 1.4 | 2.0 | 1.4 | 1.1 | 2.2 | 2.4 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.93 | 4.50 | 3.02 | 4.69 | 3.50 | 2.68 | 4.29 | 2.68 | 3.50 | 4.48 | 3.55 | 3.45 |
| GDT_TS | 0.58 | 0.55 | 0.71 | 0.61 | 0.67 | 0.75 | 0.55 | 0.71 | 0.69 | 0.59 | 0.69 | 0.68 |
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 | 1.81 | 3.73 | 1.70 | 4.34 | 4.58 | 1.47 | 4.86 | 6.03 | 1.89 | 2.61 | 5.11 |
| 2 | 1.81 | 0.00 | 3.11 | 1.62 | 3.70 | 4.04 | 1.05 | 4.59 | 5.91 | 1.85 | 2.29 | 4.89 |
| 3 | 3.73 | 3.11 | 0.00 | 3.60 | 1.36 | 1.26 | 3.02 | 2.27 | 3.66 | 3.03 | 1.72 | 2.70 |
| 4 | 1.70 | 1.62 | 3.60 | 0.00 | 4.03 | 4.50 | 1.67 | 4.99 | 6.09 | 2.35 | 2.81 | 5.22 |
| 5 | 4.34 | 3.70 | 1.36 | 4.03 | 0.00 | 1.76 | 3.67 | 2.71 | 3.69 | 3.77 | 2.19 | 2.92 |
| 6 | 4.58 | 4.04 | 1.26 | 4.50 | 1.76 | 0.00 | 3.84 | 1.46 | 3.13 | 3.74 | 2.53 | 2.12 |
| 7 | 1.47 | 1.05 | 3.02 | 1.67 | 3.67 | 3.84 | 0.00 | 4.38 | 5.77 | 1.54 | 2.09 | 4.79 |
| 8 | 4.86 | 4.59 | 2.27 | 4.99 | 2.71 | 1.46 | 4.38 | 0.00 | 2.49 | 4.22 | 3.47 | 1.55 |
| 9 | 6.03 | 5.91 | 3.66 | 6.09 | 3.69 | 3.13 | 5.77 | 2.49 | 0.00 | 5.52 | 5.16 | 2.36 |
| 10 | 1.89 | 1.85 | 3.03 | 2.35 | 3.77 | 3.74 | 1.54 | 4.22 | 5.52 | 0.00 | 2.39 | 4.29 |
| 11 | 2.61 | 2.29 | 1.72 | 2.81 | 2.19 | 2.53 | 2.09 | 3.47 | 5.16 | 2.39 | 0.00 | 3.98 |
| 12 | 5.11 | 4.89 | 2.70 | 5.22 | 2.92 | 2.12 | 4.79 | 1.55 | 2.36 | 4.29 | 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 | 0.82 | 0.69 | 0.86 | 0.63 | 0.69 | 0.86 | 0.69 | 0.60 | 0.84 | 0.80 | 0.65 |
| 2 | 0.82 | 1.00 | 0.70 | 0.86 | 0.62 | 0.71 | 0.91 | 0.69 | 0.57 | 0.93 | 0.75 | 0.66 |
| 3 | 0.69 | 0.70 | 1.00 | 0.73 | 0.85 | 0.94 | 0.71 | 0.80 | 0.73 | 0.74 | 0.84 | 0.79 |
| 4 | 0.86 | 0.86 | 0.73 | 1.00 | 0.65 | 0.71 | 0.86 | 0.75 | 0.62 | 0.87 | 0.75 | 0.71 |
| 5 | 0.63 | 0.62 | 0.85 | 0.65 | 1.00 | 0.83 | 0.62 | 0.70 | 0.65 | 0.66 | 0.79 | 0.72 |
| 6 | 0.69 | 0.71 | 0.94 | 0.71 | 0.83 | 1.00 | 0.71 | 0.84 | 0.76 | 0.74 | 0.78 | 0.81 |
| 7 | 0.86 | 0.91 | 0.71 | 0.86 | 0.62 | 0.71 | 1.00 | 0.67 | 0.59 | 0.98 | 0.80 | 0.65 |
| 8 | 0.69 | 0.69 | 0.80 | 0.75 | 0.70 | 0.84 | 0.67 | 1.00 | 0.82 | 0.68 | 0.70 | 0.90 |
| 9 | 0.60 | 0.57 | 0.73 | 0.62 | 0.65 | 0.76 | 0.59 | 0.82 | 1.00 | 0.59 | 0.62 | 0.83 |
| 10 | 0.84 | 0.93 | 0.74 | 0.87 | 0.66 | 0.74 | 0.98 | 0.68 | 0.59 | 1.00 | 0.80 | 0.66 |
| 11 | 0.80 | 0.75 | 0.84 | 0.75 | 0.79 | 0.78 | 0.80 | 0.70 | 0.62 | 0.80 | 1.00 | 0.66 |
| 12 | 0.65 | 0.66 | 0.79 | 0.71 | 0.72 | 0.81 | 0.65 | 0.90 | 0.83 | 0.66 | 0.66 | 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