| Project Name | 143V-F |
| Project Name | 143V-F |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 119.9 | 104.9 | 97.5 | 97.5 | 76.1 | 72.2 | 55.7 | 55.1 | 50.1 | 46.0 | 41.5 | 27.4 |
| Cluster size | 290 | 199 | 281 | 174 | 185 | 158 | 123 | 145 | 115 | 129 | 135 | 66 |
| Average cluster RMSD | 2.4 | 1.9 | 2.9 | 1.8 | 2.4 | 2.2 | 2.2 | 2.6 | 2.3 | 2.8 | 3.3 | 2.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.24 | 6.73 | 7.30 | 9.04 | 7.68 | 6.96 | 9.70 | 5.54 | 8.61 | 7.48 | 8.88 | 5.73 |
| GDT_TS | 0.51 | 0.51 | 0.53 | 0.61 | 0.53 | 0.59 | 0.61 | 0.58 | 0.54 | 0.55 | 0.59 | 0.62 |
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 | 2.89 | 3.08 | 6.74 | 3.36 | 3.62 | 7.18 | 2.13 | 4.83 | 3.46 | 5.66 | 2.85 |
| 2 | 2.89 | 0.00 | 2.19 | 6.94 | 2.11 | 4.63 | 7.27 | 2.72 | 4.44 | 3.52 | 5.69 | 3.51 |
| 3 | 3.08 | 2.19 | 0.00 | 5.40 | 1.71 | 3.63 | 5.97 | 2.53 | 3.33 | 2.20 | 4.08 | 3.37 |
| 4 | 6.74 | 6.94 | 5.40 | 0.00 | 5.67 | 5.18 | 2.12 | 6.15 | 5.14 | 5.18 | 2.95 | 6.52 |
| 5 | 3.36 | 2.11 | 1.71 | 5.67 | 0.00 | 3.73 | 5.95 | 2.91 | 3.11 | 2.49 | 4.36 | 3.96 |
| 6 | 3.62 | 4.63 | 3.63 | 5.18 | 3.73 | 0.00 | 5.25 | 3.57 | 2.83 | 2.71 | 4.04 | 4.74 |
| 7 | 7.18 | 7.27 | 5.97 | 2.12 | 5.95 | 5.25 | 0.00 | 6.66 | 4.97 | 5.69 | 3.96 | 7.31 |
| 8 | 2.13 | 2.72 | 2.53 | 6.15 | 2.91 | 3.57 | 6.66 | 0.00 | 4.50 | 3.36 | 5.16 | 2.14 |
| 9 | 4.83 | 4.44 | 3.33 | 5.14 | 3.11 | 2.83 | 4.97 | 4.50 | 0.00 | 2.77 | 4.04 | 5.74 |
| 10 | 3.46 | 3.52 | 2.20 | 5.18 | 2.49 | 2.71 | 5.69 | 3.36 | 2.77 | 0.00 | 3.57 | 4.29 |
| 11 | 5.66 | 5.69 | 4.08 | 2.95 | 4.36 | 4.04 | 3.96 | 5.16 | 4.04 | 3.57 | 0.00 | 5.55 |
| 12 | 2.85 | 3.51 | 3.37 | 6.52 | 3.96 | 4.74 | 7.31 | 2.14 | 5.74 | 4.29 | 5.55 | 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 | 0.67 | 0.72 | 0.60 | 0.69 | 0.76 | 0.58 | 0.79 | 0.76 | 0.84 | 0.62 | 0.69 |
| 2 | 0.67 | 1.00 | 0.79 | 0.49 | 0.85 | 0.63 | 0.50 | 0.77 | 0.68 | 0.66 | 0.51 | 0.73 |
| 3 | 0.72 | 0.79 | 1.00 | 0.57 | 0.81 | 0.67 | 0.57 | 0.80 | 0.75 | 0.78 | 0.62 | 0.71 |
| 4 | 0.60 | 0.49 | 0.57 | 1.00 | 0.51 | 0.62 | 0.88 | 0.64 | 0.53 | 0.61 | 0.74 | 0.57 |
| 5 | 0.69 | 0.85 | 0.81 | 0.51 | 1.00 | 0.67 | 0.49 | 0.74 | 0.75 | 0.71 | 0.57 | 0.73 |
| 6 | 0.76 | 0.63 | 0.67 | 0.62 | 0.67 | 1.00 | 0.61 | 0.73 | 0.73 | 0.79 | 0.68 | 0.72 |
| 7 | 0.58 | 0.50 | 0.57 | 0.88 | 0.49 | 0.61 | 1.00 | 0.64 | 0.54 | 0.60 | 0.71 | 0.62 |
| 8 | 0.79 | 0.77 | 0.80 | 0.64 | 0.74 | 0.73 | 0.64 | 1.00 | 0.70 | 0.73 | 0.67 | 0.82 |
| 9 | 0.76 | 0.68 | 0.75 | 0.53 | 0.75 | 0.73 | 0.54 | 0.70 | 1.00 | 0.82 | 0.61 | 0.64 |
| 10 | 0.84 | 0.66 | 0.78 | 0.61 | 0.71 | 0.79 | 0.60 | 0.73 | 0.82 | 1.00 | 0.62 | 0.68 |
| 11 | 0.62 | 0.51 | 0.62 | 0.74 | 0.57 | 0.68 | 0.71 | 0.67 | 0.61 | 0.62 | 1.00 | 0.66 |
| 12 | 0.69 | 0.73 | 0.71 | 0.57 | 0.73 | 0.72 | 0.62 | 0.82 | 0.64 | 0.68 | 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