| Project Name | Mutation3NK |
| Project Name | Mutation3NK |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 124.3 | 113.0 | 73.5 | 71.2 | 62.7 | 62.7 | 58.2 | 50.9 | 47.0 | 39.1 | 28.5 | 26.8 |
| Cluster size | 308 | 294 | 193 | 168 | 187 | 184 | 175 | 116 | 140 | 100 | 94 | 41 |
| Average cluster RMSD | 2.5 | 2.6 | 2.6 | 2.4 | 3.0 | 2.9 | 3.0 | 2.3 | 3.0 | 2.6 | 3.3 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.87 | 4.31 | 4.44 | 4.60 | 4.62 | 3.98 | 4.70 | 4.24 | 3.83 | 5.39 | 4.77 | 7.65 |
| GDT_TS | 0.57 | 0.54 | 0.56 | 0.53 | 0.53 | 0.62 | 0.59 | 0.55 | 0.60 | 0.61 | 0.65 | 0.68 |
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 | 2.08 | 2.20 | 2.47 | 2.08 | 2.59 | 3.46 | 1.74 | 1.95 | 4.29 | 4.03 | 6.65 |
| 2 | 2.08 | 0.00 | 2.36 | 1.52 | 2.90 | 2.69 | 3.43 | 1.95 | 2.88 | 4.27 | 4.26 | 6.37 |
| 3 | 2.20 | 2.36 | 0.00 | 2.37 | 1.73 | 3.48 | 3.95 | 1.91 | 2.15 | 4.48 | 4.23 | 5.61 |
| 4 | 2.47 | 1.52 | 2.37 | 0.00 | 3.26 | 3.46 | 4.00 | 1.91 | 3.16 | 4.95 | 4.81 | 6.45 |
| 5 | 2.08 | 2.90 | 1.73 | 3.26 | 0.00 | 2.98 | 3.70 | 2.70 | 1.67 | 3.92 | 3.58 | 5.68 |
| 6 | 2.59 | 2.69 | 3.48 | 3.46 | 2.98 | 0.00 | 2.39 | 3.48 | 2.78 | 2.97 | 3.23 | 6.41 |
| 7 | 3.46 | 3.43 | 3.95 | 4.00 | 3.70 | 2.39 | 0.00 | 4.24 | 3.93 | 1.72 | 2.85 | 5.73 |
| 8 | 1.74 | 1.95 | 1.91 | 1.91 | 2.70 | 3.48 | 4.24 | 0.00 | 2.50 | 5.16 | 4.92 | 6.98 |
| 9 | 1.95 | 2.88 | 2.15 | 3.16 | 1.67 | 2.78 | 3.93 | 2.50 | 0.00 | 4.32 | 3.84 | 6.12 |
| 10 | 4.29 | 4.27 | 4.48 | 4.95 | 3.92 | 2.97 | 1.72 | 5.16 | 4.32 | 0.00 | 2.06 | 5.38 |
| 11 | 4.03 | 4.26 | 4.23 | 4.81 | 3.58 | 3.23 | 2.85 | 4.92 | 3.84 | 2.06 | 0.00 | 5.52 |
| 12 | 6.65 | 6.37 | 5.61 | 6.45 | 5.68 | 6.41 | 5.73 | 6.98 | 6.12 | 5.38 | 5.52 | 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 | 0.83 | 0.91 | 0.86 | 0.92 | 0.74 | 0.73 | 0.96 | 0.93 | 0.70 | 0.79 | 0.72 |
| 2 | 0.83 | 1.00 | 0.80 | 0.88 | 0.79 | 0.78 | 0.71 | 0.81 | 0.77 | 0.74 | 0.78 | 0.68 |
| 3 | 0.91 | 0.80 | 1.00 | 0.81 | 0.93 | 0.73 | 0.73 | 0.92 | 0.93 | 0.73 | 0.81 | 0.75 |
| 4 | 0.86 | 0.88 | 0.81 | 1.00 | 0.79 | 0.79 | 0.70 | 0.82 | 0.81 | 0.70 | 0.80 | 0.69 |
| 5 | 0.92 | 0.79 | 0.93 | 0.79 | 1.00 | 0.73 | 0.72 | 0.93 | 0.90 | 0.69 | 0.75 | 0.72 |
| 6 | 0.74 | 0.78 | 0.73 | 0.79 | 0.73 | 1.00 | 0.84 | 0.70 | 0.72 | 0.86 | 0.83 | 0.80 |
| 7 | 0.73 | 0.71 | 0.73 | 0.70 | 0.72 | 0.84 | 1.00 | 0.71 | 0.69 | 0.94 | 0.78 | 0.80 |
| 8 | 0.96 | 0.81 | 0.92 | 0.82 | 0.93 | 0.70 | 0.71 | 1.00 | 0.91 | 0.69 | 0.77 | 0.71 |
| 9 | 0.93 | 0.77 | 0.93 | 0.81 | 0.90 | 0.72 | 0.69 | 0.91 | 1.00 | 0.70 | 0.79 | 0.72 |
| 10 | 0.70 | 0.74 | 0.73 | 0.70 | 0.69 | 0.86 | 0.94 | 0.69 | 0.70 | 1.00 | 0.78 | 0.77 |
| 11 | 0.79 | 0.78 | 0.81 | 0.80 | 0.75 | 0.83 | 0.78 | 0.77 | 0.79 | 0.78 | 1.00 | 0.83 |
| 12 | 0.72 | 0.68 | 0.75 | 0.69 | 0.72 | 0.80 | 0.80 | 0.71 | 0.72 | 0.77 | 0.83 | 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