| Project Name | 13AP |
| Project Name | 13AP |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 197.7 | 129.2 | 124.5 | 110.8 | 96.1 | 90.0 | 86.7 | 84.6 | 61.1 | 58.6 | 48.7 | 44.3 |
| Cluster size | 395 | 179 | 230 | 168 | 161 | 154 | 183 | 174 | 76 | 135 | 68 | 77 |
| Average cluster RMSD | 2.0 | 1.4 | 1.8 | 1.5 | 1.7 | 1.7 | 2.1 | 2.1 | 1.2 | 2.3 | 1.4 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.80 | 5.03 | 5.08 | 4.39 | 5.59 | 5.55 | 3.98 | 4.65 | 7.35 | 4.97 | 6.14 | 4.86 |
| GDT_TS | 0.62 | 0.63 | 0.51 | 0.47 | 0.53 | 0.62 | 0.64 | 0.65 | 0.61 | 0.56 | 0.63 | 0.45 |
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 | 6.38 | 3.42 | 4.69 | 4.44 | 4.59 | 3.70 | 5.20 | 7.31 | 4.86 | 6.78 | 4.84 |
| 2 | 6.38 | 0.00 | 6.39 | 5.93 | 5.70 | 6.81 | 6.32 | 3.51 | 4.24 | 6.27 | 2.87 | 5.46 |
| 3 | 3.42 | 6.39 | 0.00 | 2.40 | 3.70 | 3.27 | 2.25 | 5.36 | 8.10 | 3.59 | 7.24 | 3.31 |
| 4 | 4.69 | 5.93 | 2.40 | 0.00 | 3.81 | 3.60 | 2.87 | 5.93 | 7.82 | 3.14 | 7.00 | 2.68 |
| 5 | 4.44 | 5.70 | 3.70 | 3.81 | 0.00 | 2.73 | 3.88 | 5.65 | 7.71 | 2.16 | 6.70 | 2.76 |
| 6 | 4.59 | 6.81 | 3.27 | 3.60 | 2.73 | 0.00 | 3.57 | 5.15 | 7.69 | 2.05 | 7.56 | 3.65 |
| 7 | 3.70 | 6.32 | 2.25 | 2.87 | 3.88 | 3.57 | 0.00 | 5.59 | 7.92 | 3.57 | 7.29 | 3.80 |
| 8 | 5.20 | 3.51 | 5.36 | 5.93 | 5.65 | 5.15 | 5.59 | 0.00 | 4.54 | 5.82 | 3.37 | 5.68 |
| 9 | 7.31 | 4.24 | 8.10 | 7.82 | 7.71 | 7.69 | 7.92 | 4.54 | 0.00 | 8.56 | 2.51 | 7.66 |
| 10 | 4.86 | 6.27 | 3.59 | 3.14 | 2.16 | 2.05 | 3.57 | 5.82 | 8.56 | 0.00 | 7.36 | 2.66 |
| 11 | 6.78 | 2.87 | 7.24 | 7.00 | 6.70 | 7.56 | 7.29 | 3.37 | 2.51 | 7.36 | 0.00 | 6.44 |
| 12 | 4.84 | 5.46 | 3.31 | 2.68 | 2.76 | 3.65 | 3.80 | 5.68 | 7.66 | 2.66 | 6.44 | 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 | 0.54 | 0.73 | 0.63 | 0.67 | 0.76 | 0.67 | 0.49 | 0.59 | 0.81 | 0.48 | 0.71 |
| 2 | 0.54 | 1.00 | 0.52 | 0.46 | 0.51 | 0.54 | 0.53 | 0.72 | 0.67 | 0.52 | 0.77 | 0.51 |
| 3 | 0.73 | 0.52 | 1.00 | 0.79 | 0.72 | 0.77 | 0.76 | 0.52 | 0.57 | 0.79 | 0.50 | 0.79 |
| 4 | 0.63 | 0.46 | 0.79 | 1.00 | 0.64 | 0.67 | 0.72 | 0.57 | 0.53 | 0.74 | 0.50 | 0.76 |
| 5 | 0.67 | 0.51 | 0.72 | 0.64 | 1.00 | 0.72 | 0.79 | 0.54 | 0.54 | 0.77 | 0.49 | 0.75 |
| 6 | 0.76 | 0.54 | 0.77 | 0.67 | 0.72 | 1.00 | 0.73 | 0.58 | 0.65 | 0.80 | 0.55 | 0.68 |
| 7 | 0.67 | 0.53 | 0.76 | 0.72 | 0.79 | 0.73 | 1.00 | 0.55 | 0.55 | 0.79 | 0.53 | 0.73 |
| 8 | 0.49 | 0.72 | 0.52 | 0.57 | 0.54 | 0.58 | 0.55 | 1.00 | 0.69 | 0.53 | 0.78 | 0.52 |
| 9 | 0.59 | 0.67 | 0.57 | 0.53 | 0.54 | 0.65 | 0.55 | 0.69 | 1.00 | 0.62 | 0.76 | 0.54 |
| 10 | 0.81 | 0.52 | 0.79 | 0.74 | 0.77 | 0.80 | 0.79 | 0.53 | 0.62 | 1.00 | 0.52 | 0.78 |
| 11 | 0.48 | 0.77 | 0.50 | 0.50 | 0.49 | 0.55 | 0.53 | 0.78 | 0.76 | 0.52 | 1.00 | 0.47 |
| 12 | 0.71 | 0.51 | 0.79 | 0.76 | 0.75 | 0.68 | 0.73 | 0.52 | 0.54 | 0.78 | 0.47 | 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