| Project Name | mutation5hooper |
| Project Name | mutation5hooper |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 172.5 | 165.0 | 161.2 | 160.4 | 138.1 | 136.9 | 109.3 | 107.0 | 94.2 | 92.6 | 91.2 | 83.2 |
| Cluster size | 201 | 245 | 268 | 236 | 147 | 171 | 109 | 127 | 152 | 126 | 109 | 109 |
| Average cluster RMSD | 1.2 | 1.5 | 1.7 | 1.5 | 1.1 | 1.2 | 1.0 | 1.2 | 1.6 | 1.4 | 1.2 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.63 | 3.63 | 3.39 | 3.82 | 4.24 | 4.63 | 3.15 | 6.03 | 3.73 | 5.19 | 4.99 | 4.25 |
| GDT_TS | 0.64 | 0.61 | 0.64 | 0.60 | 0.55 | 0.49 | 0.64 | 0.49 | 0.56 | 0.53 | 0.57 | 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 | 2.42 | 1.51 | 2.18 | 2.48 | 2.94 | 2.91 | 5.88 | 2.57 | 5.34 | 4.47 | 1.84 |
| 2 | 2.42 | 0.00 | 1.64 | 1.22 | 1.66 | 2.33 | 1.74 | 4.88 | 1.84 | 4.46 | 3.42 | 3.40 |
| 3 | 1.51 | 1.64 | 0.00 | 1.31 | 1.84 | 2.19 | 2.44 | 5.20 | 1.94 | 4.68 | 4.08 | 2.52 |
| 4 | 2.18 | 1.22 | 1.31 | 0.00 | 1.34 | 1.99 | 2.38 | 5.02 | 1.95 | 4.69 | 3.76 | 3.18 |
| 5 | 2.48 | 1.66 | 1.84 | 1.34 | 0.00 | 1.31 | 2.62 | 5.12 | 1.75 | 4.81 | 3.57 | 3.32 |
| 6 | 2.94 | 2.33 | 2.19 | 1.99 | 1.31 | 0.00 | 3.00 | 4.87 | 1.82 | 4.69 | 3.70 | 3.44 |
| 7 | 2.91 | 1.74 | 2.44 | 2.38 | 2.62 | 3.00 | 0.00 | 4.37 | 1.84 | 3.75 | 2.66 | 3.58 |
| 8 | 5.88 | 4.88 | 5.20 | 5.02 | 5.12 | 4.87 | 4.37 | 0.00 | 4.27 | 1.51 | 2.95 | 5.68 |
| 9 | 2.57 | 1.84 | 1.94 | 1.95 | 1.75 | 1.82 | 1.84 | 4.27 | 0.00 | 3.74 | 2.79 | 3.20 |
| 10 | 5.34 | 4.46 | 4.68 | 4.69 | 4.81 | 4.69 | 3.75 | 1.51 | 3.74 | 0.00 | 2.62 | 5.19 |
| 11 | 4.47 | 3.42 | 4.08 | 3.76 | 3.57 | 3.70 | 2.66 | 2.95 | 2.79 | 2.62 | 0.00 | 4.60 |
| 12 | 1.84 | 3.40 | 2.52 | 3.18 | 3.32 | 3.44 | 3.58 | 5.68 | 3.20 | 5.19 | 4.60 | 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 | 0.69 | 0.83 | 0.72 | 0.66 | 0.66 | 0.69 | 0.51 | 0.74 | 0.51 | 0.59 | 0.81 |
| 2 | 0.69 | 1.00 | 0.80 | 0.87 | 0.83 | 0.70 | 0.87 | 0.54 | 0.80 | 0.59 | 0.78 | 0.57 |
| 3 | 0.83 | 0.80 | 1.00 | 0.86 | 0.79 | 0.74 | 0.75 | 0.56 | 0.83 | 0.62 | 0.68 | 0.74 |
| 4 | 0.72 | 0.87 | 0.86 | 1.00 | 0.89 | 0.75 | 0.73 | 0.51 | 0.81 | 0.56 | 0.72 | 0.59 |
| 5 | 0.66 | 0.83 | 0.79 | 0.89 | 1.00 | 0.86 | 0.70 | 0.54 | 0.84 | 0.56 | 0.74 | 0.59 |
| 6 | 0.66 | 0.70 | 0.74 | 0.75 | 0.86 | 1.00 | 0.65 | 0.57 | 0.82 | 0.59 | 0.68 | 0.63 |
| 7 | 0.69 | 0.87 | 0.75 | 0.73 | 0.70 | 0.65 | 1.00 | 0.55 | 0.78 | 0.62 | 0.74 | 0.60 |
| 8 | 0.51 | 0.54 | 0.56 | 0.51 | 0.54 | 0.57 | 0.55 | 1.00 | 0.58 | 0.85 | 0.63 | 0.52 |
| 9 | 0.74 | 0.80 | 0.83 | 0.81 | 0.84 | 0.82 | 0.78 | 0.58 | 1.00 | 0.65 | 0.74 | 0.66 |
| 10 | 0.51 | 0.59 | 0.62 | 0.56 | 0.56 | 0.59 | 0.62 | 0.85 | 0.65 | 1.00 | 0.68 | 0.53 |
| 11 | 0.59 | 0.78 | 0.68 | 0.72 | 0.74 | 0.68 | 0.74 | 0.63 | 0.74 | 0.68 | 1.00 | 0.50 |
| 12 | 0.81 | 0.57 | 0.74 | 0.59 | 0.59 | 0.63 | 0.60 | 0.52 | 0.66 | 0.53 | 0.50 | 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