| Project Name | fi |
| Project Name | fi |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 129.2 | 117.8 | 113.4 | 108.3 | 99.7 | 97.1 | 86.6 | 82.1 | 75.5 | 64.8 | 63.6 | 57.1 |
| Cluster size | 211 | 202 | 155 | 239 | 116 | 136 | 189 | 178 | 130 | 169 | 159 | 116 |
| Average cluster RMSD | 1.6 | 1.7 | 1.4 | 2.2 | 1.2 | 1.4 | 2.2 | 2.2 | 1.7 | 2.6 | 2.5 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.22 | 6.84 | 5.87 | 5.64 | 6.07 | 4.70 | 5.65 | 6.88 | 7.56 | 6.00 | 6.20 | 7.36 |
| GDT_TS | 0.44 | 0.45 | 0.53 | 0.48 | 0.48 | 0.57 | 0.48 | 0.48 | 0.44 | 0.46 | 0.43 | 0.41 |
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 | 1.70 | 3.38 | 3.05 | 6.14 | 5.89 | 3.27 | 4.64 | 1.51 | 3.27 | 3.60 | 2.04 |
| 2 | 1.70 | 0.00 | 3.05 | 2.62 | 6.30 | 5.85 | 2.86 | 4.37 | 1.58 | 3.00 | 3.12 | 2.03 |
| 3 | 3.38 | 3.05 | 0.00 | 3.38 | 5.03 | 4.73 | 3.53 | 5.01 | 2.98 | 3.48 | 3.91 | 3.53 |
| 4 | 3.05 | 2.62 | 3.38 | 0.00 | 5.23 | 4.10 | 1.33 | 2.96 | 3.17 | 2.06 | 2.00 | 3.29 |
| 5 | 6.14 | 6.30 | 5.03 | 5.23 | 0.00 | 3.03 | 5.03 | 5.43 | 6.46 | 5.16 | 5.49 | 6.16 |
| 6 | 5.89 | 5.85 | 4.73 | 4.10 | 3.03 | 0.00 | 3.95 | 4.27 | 6.21 | 4.11 | 4.29 | 5.79 |
| 7 | 3.27 | 2.86 | 3.53 | 1.33 | 5.03 | 3.95 | 0.00 | 3.32 | 3.36 | 1.85 | 1.87 | 3.26 |
| 8 | 4.64 | 4.37 | 5.01 | 2.96 | 5.43 | 4.27 | 3.32 | 0.00 | 4.82 | 3.28 | 2.45 | 4.30 |
| 9 | 1.51 | 1.58 | 2.98 | 3.17 | 6.46 | 6.21 | 3.36 | 4.82 | 0.00 | 3.40 | 3.61 | 2.20 |
| 10 | 3.27 | 3.00 | 3.48 | 2.06 | 5.16 | 4.11 | 1.85 | 3.28 | 3.40 | 0.00 | 1.72 | 2.68 |
| 11 | 3.60 | 3.12 | 3.91 | 2.00 | 5.49 | 4.29 | 1.87 | 2.45 | 3.61 | 1.72 | 0.00 | 3.17 |
| 12 | 2.04 | 2.03 | 3.53 | 3.29 | 6.16 | 5.79 | 3.26 | 4.30 | 2.20 | 2.68 | 3.17 | 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 | 0.58 | 0.70 | 0.48 | 0.52 | 0.67 | 0.62 | 0.85 | 0.70 | 0.67 | 0.82 |
| 2 | 0.81 | 1.00 | 0.65 | 0.74 | 0.51 | 0.50 | 0.72 | 0.63 | 0.86 | 0.76 | 0.73 | 0.86 |
| 3 | 0.58 | 0.65 | 1.00 | 0.65 | 0.54 | 0.58 | 0.64 | 0.61 | 0.66 | 0.61 | 0.61 | 0.64 |
| 4 | 0.70 | 0.74 | 0.65 | 1.00 | 0.56 | 0.61 | 0.96 | 0.73 | 0.71 | 0.94 | 0.88 | 0.71 |
| 5 | 0.48 | 0.51 | 0.54 | 0.56 | 1.00 | 0.65 | 0.57 | 0.54 | 0.47 | 0.53 | 0.52 | 0.54 |
| 6 | 0.52 | 0.50 | 0.58 | 0.61 | 0.65 | 1.00 | 0.65 | 0.63 | 0.51 | 0.55 | 0.58 | 0.53 |
| 7 | 0.67 | 0.72 | 0.64 | 0.96 | 0.57 | 0.65 | 1.00 | 0.77 | 0.68 | 0.91 | 0.93 | 0.72 |
| 8 | 0.62 | 0.63 | 0.61 | 0.73 | 0.54 | 0.63 | 0.77 | 1.00 | 0.61 | 0.71 | 0.77 | 0.66 |
| 9 | 0.85 | 0.86 | 0.66 | 0.71 | 0.47 | 0.51 | 0.68 | 0.61 | 1.00 | 0.69 | 0.68 | 0.79 |
| 10 | 0.70 | 0.76 | 0.61 | 0.94 | 0.53 | 0.55 | 0.91 | 0.71 | 0.69 | 1.00 | 0.90 | 0.74 |
| 11 | 0.67 | 0.73 | 0.61 | 0.88 | 0.52 | 0.58 | 0.93 | 0.77 | 0.68 | 0.90 | 1.00 | 0.72 |
| 12 | 0.82 | 0.86 | 0.64 | 0.71 | 0.54 | 0.53 | 0.72 | 0.66 | 0.79 | 0.74 | 0.72 | 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