| Project Name | Mutation2Group15 |
| Project Name | Mutation2Group15 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 201.2 | 155.9 | 146.1 | 144.1 | 123.0 | 109.9 | 109.7 | 102.4 | 71.5 | 59.6 | 54.0 | 44.3 |
| Cluster size | 338 | 284 | 263 | 202 | 151 | 145 | 198 | 105 | 107 | 86 | 74 | 47 |
| Average cluster RMSD | 1.7 | 1.8 | 1.8 | 1.4 | 1.2 | 1.3 | 1.8 | 1.0 | 1.5 | 1.4 | 1.4 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.46 | 3.89 | 4.27 | 2.52 | 3.66 | 4.53 | 4.64 | 4.32 | 4.59 | 2.52 | 4.38 | 3.93 |
| GDT_TS | 0.55 | 0.58 | 0.67 | 0.72 | 0.59 | 0.65 | 0.62 | 0.54 | 0.62 | 0.70 | 0.55 | 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 | 1.55 | 3.55 | 3.12 | 4.46 | 3.61 | 2.76 | 4.44 | 3.90 | 2.90 | 4.31 | 1.73 |
| 2 | 1.55 | 0.00 | 4.25 | 3.19 | 4.83 | 4.09 | 3.10 | 4.90 | 4.67 | 2.21 | 4.83 | 2.26 |
| 3 | 3.55 | 4.25 | 0.00 | 2.92 | 3.10 | 2.91 | 3.37 | 3.33 | 1.39 | 4.03 | 2.74 | 2.72 |
| 4 | 3.12 | 3.19 | 2.92 | 0.00 | 2.45 | 3.01 | 3.39 | 2.94 | 3.06 | 2.39 | 2.78 | 2.28 |
| 5 | 4.46 | 4.83 | 3.10 | 2.45 | 0.00 | 3.52 | 4.43 | 1.63 | 2.84 | 4.05 | 1.53 | 3.67 |
| 6 | 3.61 | 4.09 | 2.91 | 3.01 | 3.52 | 0.00 | 3.79 | 3.85 | 2.92 | 4.22 | 3.70 | 3.06 |
| 7 | 2.76 | 3.10 | 3.37 | 3.39 | 4.43 | 3.79 | 0.00 | 4.45 | 3.73 | 3.66 | 4.25 | 2.82 |
| 8 | 4.44 | 4.90 | 3.33 | 2.94 | 1.63 | 3.85 | 4.45 | 0.00 | 2.86 | 4.26 | 1.64 | 3.76 |
| 9 | 3.90 | 4.67 | 1.39 | 3.06 | 2.84 | 2.92 | 3.73 | 2.86 | 0.00 | 4.54 | 2.50 | 3.25 |
| 10 | 2.90 | 2.21 | 4.03 | 2.39 | 4.05 | 4.22 | 3.66 | 4.26 | 4.54 | 0.00 | 4.32 | 2.54 |
| 11 | 4.31 | 4.83 | 2.74 | 2.78 | 1.53 | 3.70 | 4.25 | 1.64 | 2.50 | 4.32 | 0.00 | 3.44 |
| 12 | 1.73 | 2.26 | 2.72 | 2.28 | 3.67 | 3.06 | 2.82 | 3.76 | 3.25 | 2.54 | 3.44 | 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 | 0.68 | 0.64 | 0.60 | 0.64 | 0.71 | 0.63 | 0.62 | 0.76 | 0.63 | 0.81 |
| 2 | 0.83 | 1.00 | 0.65 | 0.64 | 0.59 | 0.61 | 0.69 | 0.58 | 0.57 | 0.74 | 0.60 | 0.74 |
| 3 | 0.68 | 0.65 | 1.00 | 0.72 | 0.70 | 0.83 | 0.70 | 0.63 | 0.86 | 0.71 | 0.71 | 0.78 |
| 4 | 0.64 | 0.64 | 0.72 | 1.00 | 0.84 | 0.72 | 0.73 | 0.73 | 0.75 | 0.75 | 0.81 | 0.75 |
| 5 | 0.60 | 0.59 | 0.70 | 0.84 | 1.00 | 0.72 | 0.62 | 0.85 | 0.79 | 0.62 | 0.91 | 0.66 |
| 6 | 0.64 | 0.61 | 0.83 | 0.72 | 0.72 | 1.00 | 0.68 | 0.64 | 0.88 | 0.65 | 0.76 | 0.73 |
| 7 | 0.71 | 0.69 | 0.70 | 0.73 | 0.62 | 0.68 | 1.00 | 0.59 | 0.67 | 0.72 | 0.60 | 0.72 |
| 8 | 0.63 | 0.58 | 0.63 | 0.73 | 0.85 | 0.64 | 0.59 | 1.00 | 0.70 | 0.60 | 0.82 | 0.63 |
| 9 | 0.62 | 0.57 | 0.86 | 0.75 | 0.79 | 0.88 | 0.67 | 0.70 | 1.00 | 0.59 | 0.82 | 0.71 |
| 10 | 0.76 | 0.74 | 0.71 | 0.75 | 0.62 | 0.65 | 0.72 | 0.60 | 0.59 | 1.00 | 0.63 | 0.85 |
| 11 | 0.63 | 0.60 | 0.71 | 0.81 | 0.91 | 0.76 | 0.60 | 0.82 | 0.82 | 0.63 | 1.00 | 0.69 |
| 12 | 0.81 | 0.74 | 0.78 | 0.75 | 0.66 | 0.73 | 0.72 | 0.63 | 0.71 | 0.85 | 0.69 | 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