| Project Name | Kirsten_V1 |
| Project Name | Kirsten_V1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 218.7 | 216.1 | 181.2 | 178.2 | 141.7 | 139.5 | 130.5 | 125.3 | 122.9 | 107.1 | 72.7 | 70.7 |
| Cluster size | 269 | 278 | 189 | 207 | 163 | 207 | 144 | 131 | 108 | 107 | 73 | 124 |
| Average cluster RMSD | 1.2 | 1.3 | 1.0 | 1.2 | 1.2 | 1.5 | 1.1 | 1.0 | 0.9 | 1.0 | 1.0 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.68 | 4.13 | 4.98 | 5.11 | 5.32 | 4.42 | 4.37 | 5.18 | 6.13 | 5.75 | 4.81 | 3.96 |
| GDT_TS | 0.61 | 0.55 | 0.49 | 0.51 | 0.50 | 0.55 | 0.55 | 0.46 | 0.45 | 0.46 | 0.49 | 0.59 |
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 | 2.15 | 4.58 | 2.39 | 3.69 | 3.40 | 3.34 | 3.53 | 4.23 | 4.08 | 4.04 | 1.58 |
| 2 | 2.15 | 0.00 | 4.78 | 2.66 | 4.98 | 3.72 | 4.77 | 4.48 | 4.99 | 5.05 | 3.96 | 1.73 |
| 3 | 4.58 | 4.78 | 0.00 | 4.48 | 5.39 | 3.28 | 5.22 | 4.78 | 5.22 | 4.91 | 2.31 | 4.45 |
| 4 | 2.39 | 2.66 | 4.48 | 0.00 | 3.65 | 2.51 | 4.23 | 3.07 | 3.25 | 3.76 | 3.38 | 2.29 |
| 5 | 3.69 | 4.98 | 5.39 | 3.65 | 0.00 | 4.12 | 1.88 | 2.13 | 2.53 | 2.07 | 5.47 | 4.03 |
| 6 | 3.40 | 3.72 | 3.28 | 2.51 | 4.12 | 0.00 | 4.58 | 3.69 | 3.99 | 4.33 | 2.01 | 3.37 |
| 7 | 3.34 | 4.77 | 5.22 | 4.23 | 1.88 | 4.58 | 0.00 | 2.92 | 3.71 | 2.78 | 5.64 | 3.86 |
| 8 | 3.53 | 4.48 | 4.78 | 3.07 | 2.13 | 3.69 | 2.92 | 0.00 | 1.51 | 1.69 | 4.69 | 3.40 |
| 9 | 4.23 | 4.99 | 5.22 | 3.25 | 2.53 | 3.99 | 3.71 | 1.51 | 0.00 | 1.54 | 5.01 | 4.10 |
| 10 | 4.08 | 5.05 | 4.91 | 3.76 | 2.07 | 4.33 | 2.78 | 1.69 | 1.54 | 0.00 | 5.25 | 4.09 |
| 11 | 4.04 | 3.96 | 2.31 | 3.38 | 5.47 | 2.01 | 5.64 | 4.69 | 5.01 | 5.25 | 0.00 | 3.92 |
| 12 | 1.58 | 1.73 | 4.45 | 2.29 | 4.03 | 3.37 | 3.86 | 3.40 | 4.10 | 4.09 | 3.92 | 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 | 0.75 | 0.46 | 0.71 | 0.67 | 0.64 | 0.64 | 0.67 | 0.71 | 0.67 | 0.54 | 0.85 |
| 2 | 0.75 | 1.00 | 0.49 | 0.72 | 0.63 | 0.65 | 0.60 | 0.61 | 0.59 | 0.57 | 0.61 | 0.85 |
| 3 | 0.46 | 0.49 | 1.00 | 0.59 | 0.55 | 0.62 | 0.51 | 0.48 | 0.45 | 0.49 | 0.76 | 0.51 |
| 4 | 0.71 | 0.72 | 0.59 | 1.00 | 0.65 | 0.79 | 0.57 | 0.64 | 0.63 | 0.60 | 0.66 | 0.77 |
| 5 | 0.67 | 0.63 | 0.55 | 0.65 | 1.00 | 0.61 | 0.80 | 0.79 | 0.76 | 0.74 | 0.54 | 0.68 |
| 6 | 0.64 | 0.65 | 0.62 | 0.79 | 0.61 | 1.00 | 0.54 | 0.60 | 0.57 | 0.54 | 0.77 | 0.70 |
| 7 | 0.64 | 0.60 | 0.51 | 0.57 | 0.80 | 0.54 | 1.00 | 0.68 | 0.63 | 0.68 | 0.50 | 0.62 |
| 8 | 0.67 | 0.61 | 0.48 | 0.64 | 0.79 | 0.60 | 0.68 | 1.00 | 0.83 | 0.81 | 0.51 | 0.67 |
| 9 | 0.71 | 0.59 | 0.45 | 0.63 | 0.76 | 0.57 | 0.63 | 0.83 | 1.00 | 0.84 | 0.50 | 0.69 |
| 10 | 0.67 | 0.57 | 0.49 | 0.60 | 0.74 | 0.54 | 0.68 | 0.81 | 0.84 | 1.00 | 0.54 | 0.65 |
| 11 | 0.54 | 0.61 | 0.76 | 0.66 | 0.54 | 0.77 | 0.50 | 0.51 | 0.50 | 0.54 | 1.00 | 0.61 |
| 12 | 0.85 | 0.85 | 0.51 | 0.77 | 0.68 | 0.70 | 0.62 | 0.67 | 0.69 | 0.65 | 0.61 | 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