| Project Name | AVmutation |
| Project Name | AVmutation |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 126.7 | 121.9 | 98.8 | 78.3 | 74.2 | 64.1 | 59.0 | 57.4 | 53.0 | 47.1 | 42.8 | 26.3 |
| Cluster size | 249 | 281 | 255 | 215 | 165 | 124 | 166 | 162 | 126 | 102 | 115 | 40 |
| Average cluster RMSD | 2.0 | 2.3 | 2.6 | 2.7 | 2.2 | 1.9 | 2.8 | 2.8 | 2.4 | 2.2 | 2.7 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.78 | 3.15 | 4.00 | 3.96 | 6.32 | 7.58 | 4.16 | 5.07 | 3.07 | 7.47 | 5.64 | 6.43 |
| GDT_TS | 0.56 | 0.66 | 0.56 | 0.58 | 0.58 | 0.56 | 0.56 | 0.58 | 0.66 | 0.58 | 0.60 | 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 | 4.56 | 3.75 | 3.18 | 1.85 | 2.85 | 4.32 | 3.32 | 4.37 | 3.36 | 4.64 | 5.35 |
| 2 | 4.56 | 0.00 | 2.57 | 2.38 | 5.21 | 6.36 | 2.55 | 3.80 | 1.34 | 6.12 | 4.35 | 5.33 |
| 3 | 3.75 | 2.57 | 0.00 | 1.43 | 4.22 | 5.42 | 1.27 | 3.67 | 2.64 | 5.10 | 3.45 | 4.44 |
| 4 | 3.18 | 2.38 | 1.43 | 0.00 | 3.85 | 5.09 | 2.09 | 3.46 | 2.24 | 4.96 | 3.56 | 4.54 |
| 5 | 1.85 | 5.21 | 4.22 | 3.85 | 0.00 | 2.35 | 4.80 | 3.36 | 5.13 | 2.69 | 4.53 | 5.08 |
| 6 | 2.85 | 6.36 | 5.42 | 5.09 | 2.35 | 0.00 | 5.94 | 4.07 | 6.32 | 2.04 | 4.68 | 4.85 |
| 7 | 4.32 | 2.55 | 1.27 | 2.09 | 4.80 | 5.94 | 0.00 | 3.70 | 2.82 | 5.37 | 3.64 | 4.69 |
| 8 | 3.32 | 3.80 | 3.67 | 3.46 | 3.36 | 4.07 | 3.70 | 0.00 | 4.08 | 3.45 | 3.92 | 4.39 |
| 9 | 4.37 | 1.34 | 2.64 | 2.24 | 5.13 | 6.32 | 2.82 | 4.08 | 0.00 | 6.35 | 4.68 | 5.63 |
| 10 | 3.36 | 6.12 | 5.10 | 4.96 | 2.69 | 2.04 | 5.37 | 3.45 | 6.35 | 0.00 | 4.09 | 4.33 |
| 11 | 4.64 | 4.35 | 3.45 | 3.56 | 4.53 | 4.68 | 3.64 | 3.92 | 4.68 | 4.09 | 0.00 | 2.00 |
| 12 | 5.35 | 5.33 | 4.44 | 4.54 | 5.08 | 4.85 | 4.69 | 4.39 | 5.63 | 4.33 | 2.00 | 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 | 0.66 | 0.65 | 0.68 | 0.80 | 0.87 | 0.60 | 0.67 | 0.66 | 0.83 | 0.64 | 0.62 |
| 2 | 0.66 | 1.00 | 0.77 | 0.79 | 0.62 | 0.68 | 0.75 | 0.70 | 0.98 | 0.66 | 0.74 | 0.70 |
| 3 | 0.65 | 0.77 | 1.00 | 0.86 | 0.57 | 0.65 | 0.93 | 0.64 | 0.76 | 0.67 | 0.86 | 0.81 |
| 4 | 0.68 | 0.79 | 0.86 | 1.00 | 0.60 | 0.73 | 0.83 | 0.68 | 0.78 | 0.72 | 0.84 | 0.76 |
| 5 | 0.80 | 0.62 | 0.57 | 0.60 | 1.00 | 0.81 | 0.54 | 0.68 | 0.64 | 0.79 | 0.55 | 0.51 |
| 6 | 0.87 | 0.68 | 0.65 | 0.73 | 0.81 | 1.00 | 0.62 | 0.71 | 0.69 | 0.91 | 0.67 | 0.64 |
| 7 | 0.60 | 0.75 | 0.93 | 0.83 | 0.54 | 0.62 | 1.00 | 0.63 | 0.75 | 0.65 | 0.83 | 0.80 |
| 8 | 0.67 | 0.70 | 0.64 | 0.68 | 0.68 | 0.71 | 0.63 | 1.00 | 0.70 | 0.75 | 0.64 | 0.63 |
| 9 | 0.66 | 0.98 | 0.76 | 0.78 | 0.64 | 0.69 | 0.75 | 0.70 | 1.00 | 0.68 | 0.71 | 0.69 |
| 10 | 0.83 | 0.66 | 0.67 | 0.72 | 0.79 | 0.91 | 0.65 | 0.75 | 0.68 | 1.00 | 0.67 | 0.67 |
| 11 | 0.64 | 0.74 | 0.86 | 0.84 | 0.55 | 0.67 | 0.83 | 0.64 | 0.71 | 0.67 | 1.00 | 0.86 |
| 12 | 0.62 | 0.70 | 0.81 | 0.76 | 0.51 | 0.64 | 0.80 | 0.63 | 0.69 | 0.67 | 0.86 | 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