| Project Name | Mutation1Group15 |
| Project Name | Mutation1Group15 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 193.4 | 169.6 | 167.4 | 148.7 | 135.4 | 122.5 | 121.6 | 106.0 | 88.1 | 74.5 | 70.6 | 32.3 |
| Cluster size | 251 | 290 | 195 | 208 | 216 | 194 | 212 | 147 | 90 | 97 | 77 | 23 |
| Average cluster RMSD | 1.3 | 1.7 | 1.2 | 1.4 | 1.6 | 1.6 | 1.7 | 1.4 | 1.0 | 1.3 | 1.1 | 0.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.92 | 4.26 | 4.42 | 5.73 | 3.70 | 4.32 | 5.30 | 3.22 | 4.81 | 5.06 | 5.33 | 5.03 |
| GDT_TS | 0.57 | 0.59 | 0.61 | 0.57 | 0.63 | 0.62 | 0.56 | 0.62 | 0.65 | 0.61 | 0.54 | 0.56 |
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 | 4.58 | 1.13 | 5.42 | 2.01 | 3.06 | 5.24 | 2.87 | 3.73 | 2.52 | 1.89 | 1.54 |
| 2 | 4.58 | 0.00 | 3.95 | 3.33 | 3.28 | 2.33 | 2.98 | 3.54 | 2.47 | 3.18 | 4.21 | 5.00 |
| 3 | 1.13 | 3.95 | 0.00 | 5.04 | 1.40 | 2.48 | 4.75 | 2.38 | 3.26 | 2.33 | 1.87 | 1.83 |
| 4 | 5.42 | 3.33 | 5.04 | 0.00 | 4.72 | 4.01 | 1.04 | 4.87 | 3.38 | 3.21 | 4.70 | 6.11 |
| 5 | 2.01 | 3.28 | 1.40 | 4.72 | 0.00 | 1.73 | 4.33 | 1.67 | 2.77 | 2.42 | 2.69 | 2.41 |
| 6 | 3.06 | 2.33 | 2.48 | 4.01 | 1.73 | 0.00 | 3.66 | 2.64 | 1.92 | 2.24 | 3.21 | 3.46 |
| 7 | 5.24 | 2.98 | 4.75 | 1.04 | 4.33 | 3.66 | 0.00 | 4.48 | 3.26 | 3.12 | 4.55 | 5.88 |
| 8 | 2.87 | 3.54 | 2.38 | 4.87 | 1.67 | 2.64 | 4.48 | 0.00 | 3.37 | 3.34 | 3.51 | 3.12 |
| 9 | 3.73 | 2.47 | 3.26 | 3.38 | 2.77 | 1.92 | 3.26 | 3.37 | 0.00 | 2.46 | 3.72 | 4.06 |
| 10 | 2.52 | 3.18 | 2.33 | 3.21 | 2.42 | 2.24 | 3.12 | 3.34 | 2.46 | 0.00 | 2.07 | 3.37 |
| 11 | 1.89 | 4.21 | 1.87 | 4.70 | 2.69 | 3.21 | 4.55 | 3.51 | 3.72 | 2.07 | 0.00 | 2.54 |
| 12 | 1.54 | 5.00 | 1.83 | 6.11 | 2.41 | 3.46 | 5.88 | 3.12 | 4.06 | 3.37 | 2.54 | 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 | 0.50 | 0.93 | 0.50 | 0.80 | 0.64 | 0.53 | 0.71 | 0.61 | 0.73 | 0.83 | 0.89 |
| 2 | 0.50 | 1.00 | 0.56 | 0.74 | 0.55 | 0.71 | 0.71 | 0.71 | 0.79 | 0.67 | 0.56 | 0.47 |
| 3 | 0.93 | 0.56 | 1.00 | 0.52 | 0.84 | 0.72 | 0.55 | 0.75 | 0.65 | 0.77 | 0.81 | 0.84 |
| 4 | 0.50 | 0.74 | 0.52 | 1.00 | 0.53 | 0.57 | 0.90 | 0.62 | 0.69 | 0.60 | 0.52 | 0.49 |
| 5 | 0.80 | 0.55 | 0.84 | 0.53 | 1.00 | 0.84 | 0.56 | 0.83 | 0.69 | 0.77 | 0.68 | 0.78 |
| 6 | 0.64 | 0.71 | 0.72 | 0.57 | 0.84 | 1.00 | 0.60 | 0.75 | 0.78 | 0.78 | 0.64 | 0.65 |
| 7 | 0.53 | 0.71 | 0.55 | 0.90 | 0.56 | 0.60 | 1.00 | 0.60 | 0.68 | 0.71 | 0.58 | 0.52 |
| 8 | 0.71 | 0.71 | 0.75 | 0.62 | 0.83 | 0.75 | 0.60 | 1.00 | 0.73 | 0.68 | 0.64 | 0.69 |
| 9 | 0.61 | 0.79 | 0.65 | 0.69 | 0.69 | 0.78 | 0.68 | 0.73 | 1.00 | 0.74 | 0.57 | 0.57 |
| 10 | 0.73 | 0.67 | 0.77 | 0.60 | 0.77 | 0.78 | 0.71 | 0.68 | 0.74 | 1.00 | 0.75 | 0.69 |
| 11 | 0.83 | 0.56 | 0.81 | 0.52 | 0.68 | 0.64 | 0.58 | 0.64 | 0.57 | 0.75 | 1.00 | 0.78 |
| 12 | 0.89 | 0.47 | 0.84 | 0.49 | 0.78 | 0.65 | 0.52 | 0.69 | 0.57 | 0.69 | 0.78 | 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