| Project Name | Mutation2NK |
| Project Name | Mutation2NK |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 155.4 | 85.7 | 74.7 | 69.0 | 64.5 | 62.5 | 60.8 | 59.7 | 51.7 | 47.2 | 30.3 | 22.4 |
| Cluster size | 416 | 160 | 137 | 202 | 132 | 172 | 202 | 201 | 88 | 148 | 107 | 35 |
| Average cluster RMSD | 2.7 | 1.9 | 1.8 | 2.9 | 2.0 | 2.8 | 3.3 | 3.4 | 1.7 | 3.1 | 3.5 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.05 | 5.85 | 5.22 | 4.45 | 6.07 | 4.35 | 3.98 | 4.96 | 7.04 | 3.99 | 5.24 | 7.24 |
| GDT_TS | 0.63 | 0.54 | 0.57 | 0.64 | 0.57 | 0.57 | 0.67 | 0.58 | 0.59 | 0.68 | 0.69 | 0.64 |
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 | 3.90 | 3.07 | 2.01 | 4.50 | 1.92 | 3.58 | 4.12 | 5.49 | 3.19 | 3.85 | 7.50 |
| 2 | 3.90 | 0.00 | 1.70 | 4.48 | 2.64 | 3.99 | 4.19 | 4.19 | 3.44 | 3.60 | 4.32 | 8.85 |
| 3 | 3.07 | 1.70 | 0.00 | 3.81 | 3.08 | 3.31 | 3.90 | 4.05 | 4.16 | 3.45 | 4.38 | 8.60 |
| 4 | 2.01 | 4.48 | 3.81 | 0.00 | 5.37 | 2.66 | 3.90 | 4.50 | 6.23 | 4.07 | 3.82 | 6.64 |
| 5 | 4.50 | 2.64 | 3.08 | 5.37 | 0.00 | 5.09 | 4.28 | 3.79 | 1.73 | 3.47 | 3.83 | 8.50 |
| 6 | 1.92 | 3.99 | 3.31 | 2.66 | 5.09 | 0.00 | 3.72 | 4.56 | 6.07 | 3.52 | 4.61 | 7.78 |
| 7 | 3.58 | 4.19 | 3.90 | 3.90 | 4.28 | 3.72 | 0.00 | 2.08 | 4.93 | 2.46 | 3.36 | 6.27 |
| 8 | 4.12 | 4.19 | 4.05 | 4.50 | 3.79 | 4.56 | 2.08 | 0.00 | 4.22 | 2.97 | 3.31 | 6.01 |
| 9 | 5.49 | 3.44 | 4.16 | 6.23 | 1.73 | 6.07 | 4.93 | 4.22 | 0.00 | 4.09 | 4.07 | 8.71 |
| 10 | 3.19 | 3.60 | 3.45 | 4.07 | 3.47 | 3.52 | 2.46 | 2.97 | 4.09 | 0.00 | 2.73 | 7.67 |
| 11 | 3.85 | 4.32 | 4.38 | 3.82 | 3.83 | 4.61 | 3.36 | 3.31 | 4.07 | 2.73 | 0.00 | 6.94 |
| 12 | 7.50 | 8.85 | 8.60 | 6.64 | 8.50 | 7.78 | 6.27 | 6.01 | 8.71 | 7.67 | 6.94 | 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 | 0.64 | 0.68 | 0.95 | 0.65 | 0.82 | 0.76 | 0.74 | 0.64 | 0.76 | 0.77 | 0.71 |
| 2 | 0.64 | 1.00 | 0.87 | 0.61 | 0.78 | 0.63 | 0.67 | 0.75 | 0.82 | 0.71 | 0.71 | 0.55 |
| 3 | 0.68 | 0.87 | 1.00 | 0.65 | 0.82 | 0.66 | 0.76 | 0.76 | 0.81 | 0.76 | 0.76 | 0.54 |
| 4 | 0.95 | 0.61 | 0.65 | 1.00 | 0.62 | 0.82 | 0.78 | 0.73 | 0.61 | 0.77 | 0.77 | 0.70 |
| 5 | 0.65 | 0.78 | 0.82 | 0.62 | 1.00 | 0.59 | 0.70 | 0.69 | 0.94 | 0.75 | 0.76 | 0.56 |
| 6 | 0.82 | 0.63 | 0.66 | 0.82 | 0.59 | 1.00 | 0.74 | 0.69 | 0.57 | 0.72 | 0.76 | 0.73 |
| 7 | 0.76 | 0.67 | 0.76 | 0.78 | 0.70 | 0.74 | 1.00 | 0.78 | 0.68 | 0.91 | 0.86 | 0.69 |
| 8 | 0.74 | 0.75 | 0.76 | 0.73 | 0.69 | 0.69 | 0.78 | 1.00 | 0.68 | 0.77 | 0.76 | 0.60 |
| 9 | 0.64 | 0.82 | 0.81 | 0.61 | 0.94 | 0.57 | 0.68 | 0.68 | 1.00 | 0.74 | 0.76 | 0.56 |
| 10 | 0.76 | 0.71 | 0.76 | 0.77 | 0.75 | 0.72 | 0.91 | 0.77 | 0.74 | 1.00 | 0.90 | 0.73 |
| 11 | 0.77 | 0.71 | 0.76 | 0.77 | 0.76 | 0.76 | 0.86 | 0.76 | 0.76 | 0.90 | 1.00 | 0.72 |
| 12 | 0.71 | 0.55 | 0.54 | 0.70 | 0.56 | 0.73 | 0.69 | 0.60 | 0.56 | 0.73 | 0.72 | 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