| Project Name | 127LVminimized |
| Project Name | 127LVminimized |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 279.9 | 191.7 | 185.6 | 176.2 | 160.2 | 129.8 | 118.1 | 117.6 | 101.1 | 84.1 | 69.4 | 66.7 |
| Cluster size | 329 | 191 | 223 | 206 | 216 | 197 | 122 | 139 | 123 | 83 | 83 | 88 |
| Average cluster RMSD | 1.2 | 1.0 | 1.2 | 1.2 | 1.3 | 1.5 | 1.0 | 1.2 | 1.2 | 1.0 | 1.2 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.49 | 4.89 | 2.81 | 3.84 | 3.28 | 3.29 | 4.91 | 4.63 | 5.32 | 3.13 | 4.30 | 3.49 |
| GDT_TS | 0.69 | 0.67 | 0.67 | 0.69 | 0.63 | 0.67 | 0.65 | 0.63 | 0.62 | 0.70 | 0.70 | 0.63 |
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 | 1.29 | 3.95 | 1.36 | 3.78 | 4.75 | 1.65 | 2.58 | 1.64 | 5.12 | 0.91 | 4.10 |
| 2 | 1.29 | 0.00 | 4.32 | 1.84 | 3.98 | 5.14 | 2.06 | 3.15 | 2.00 | 5.58 | 1.19 | 4.37 |
| 3 | 3.95 | 4.32 | 0.00 | 3.28 | 1.38 | 1.64 | 4.21 | 4.07 | 4.62 | 1.93 | 3.98 | 1.61 |
| 4 | 1.36 | 1.84 | 3.28 | 0.00 | 3.09 | 4.08 | 1.81 | 2.51 | 2.41 | 4.33 | 1.27 | 3.43 |
| 5 | 3.78 | 3.98 | 1.38 | 3.09 | 0.00 | 1.96 | 3.82 | 3.81 | 4.46 | 2.23 | 3.81 | 1.32 |
| 6 | 4.75 | 5.14 | 1.64 | 4.08 | 1.96 | 0.00 | 4.74 | 4.53 | 5.17 | 1.52 | 4.88 | 1.72 |
| 7 | 1.65 | 2.06 | 4.21 | 1.81 | 3.82 | 4.74 | 0.00 | 1.88 | 2.01 | 5.12 | 1.99 | 4.02 |
| 8 | 2.58 | 3.15 | 4.07 | 2.51 | 3.81 | 4.53 | 1.88 | 0.00 | 2.92 | 4.85 | 2.92 | 3.89 |
| 9 | 1.64 | 2.00 | 4.62 | 2.41 | 4.46 | 5.17 | 2.01 | 2.92 | 0.00 | 5.78 | 2.14 | 4.60 |
| 10 | 5.12 | 5.58 | 1.93 | 4.33 | 2.23 | 1.52 | 5.12 | 4.85 | 5.78 | 0.00 | 5.16 | 2.29 |
| 11 | 0.91 | 1.19 | 3.98 | 1.27 | 3.81 | 4.88 | 1.99 | 2.92 | 2.14 | 5.16 | 0.00 | 4.20 |
| 12 | 4.10 | 4.37 | 1.61 | 3.43 | 1.32 | 1.72 | 4.02 | 3.89 | 4.60 | 2.29 | 4.20 | 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 | 0.88 | 0.69 | 0.87 | 0.72 | 0.64 | 0.88 | 0.80 | 0.85 | 0.69 | 0.94 | 0.67 |
| 2 | 0.88 | 1.00 | 0.69 | 0.82 | 0.70 | 0.60 | 0.80 | 0.75 | 0.77 | 0.65 | 0.90 | 0.65 |
| 3 | 0.69 | 0.69 | 1.00 | 0.70 | 0.88 | 0.87 | 0.60 | 0.62 | 0.66 | 0.85 | 0.69 | 0.88 |
| 4 | 0.87 | 0.82 | 0.70 | 1.00 | 0.73 | 0.65 | 0.83 | 0.84 | 0.72 | 0.70 | 0.91 | 0.69 |
| 5 | 0.72 | 0.70 | 0.88 | 0.73 | 1.00 | 0.78 | 0.64 | 0.64 | 0.68 | 0.79 | 0.68 | 0.89 |
| 6 | 0.64 | 0.60 | 0.87 | 0.65 | 0.78 | 1.00 | 0.57 | 0.59 | 0.63 | 0.85 | 0.60 | 0.83 |
| 7 | 0.88 | 0.80 | 0.60 | 0.83 | 0.64 | 0.57 | 1.00 | 0.83 | 0.78 | 0.61 | 0.86 | 0.63 |
| 8 | 0.80 | 0.75 | 0.62 | 0.84 | 0.64 | 0.59 | 0.83 | 1.00 | 0.69 | 0.62 | 0.80 | 0.63 |
| 9 | 0.85 | 0.77 | 0.66 | 0.72 | 0.68 | 0.63 | 0.78 | 0.69 | 1.00 | 0.61 | 0.76 | 0.67 |
| 10 | 0.69 | 0.65 | 0.85 | 0.70 | 0.79 | 0.85 | 0.61 | 0.62 | 0.61 | 1.00 | 0.67 | 0.79 |
| 11 | 0.94 | 0.90 | 0.69 | 0.91 | 0.68 | 0.60 | 0.86 | 0.80 | 0.76 | 0.67 | 1.00 | 0.64 |
| 12 | 0.67 | 0.65 | 0.88 | 0.69 | 0.89 | 0.83 | 0.63 | 0.63 | 0.67 | 0.79 | 0.64 | 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