| Project Name | Grp26MutVar3I/F |
| Project Name | Grp26MutVar3I/F |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 222.8 | 151.0 | 143.4 | 139.9 | 134.1 | 129.0 | 123.6 | 117.1 | 81.6 | 70.9 | 64.4 | 38.9 |
| Cluster size | 414 | 154 | 253 | 146 | 160 | 143 | 165 | 221 | 122 | 81 | 67 | 74 |
| Average cluster RMSD | 1.9 | 1.0 | 1.8 | 1.0 | 1.2 | 1.1 | 1.3 | 1.9 | 1.5 | 1.1 | 1.0 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.44 | 5.28 | 4.71 | 4.73 | 5.31 | 5.28 | 4.66 | 4.29 | 4.93 | 4.68 | 6.12 | 4.60 |
| GDT_TS | 0.59 | 0.56 | 0.55 | 0.55 | 0.50 | 0.48 | 0.53 | 0.58 | 0.50 | 0.53 | 0.49 | 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 | 3.08 | 0.91 | 3.07 | 2.70 | 2.74 | 2.47 | 1.97 | 2.64 | 2.46 | 3.73 | 2.14 |
| 2 | 3.08 | 0.00 | 3.49 | 4.75 | 4.04 | 4.48 | 3.33 | 3.53 | 2.35 | 3.56 | 2.51 | 4.06 |
| 3 | 0.91 | 3.49 | 0.00 | 2.98 | 2.79 | 2.61 | 2.47 | 2.20 | 2.85 | 2.74 | 4.00 | 2.14 |
| 4 | 3.07 | 4.75 | 2.98 | 0.00 | 3.04 | 2.08 | 4.06 | 3.51 | 4.22 | 3.13 | 5.22 | 3.35 |
| 5 | 2.70 | 4.04 | 2.79 | 3.04 | 0.00 | 2.77 | 4.47 | 3.54 | 4.35 | 1.51 | 4.78 | 3.69 |
| 6 | 2.74 | 4.48 | 2.61 | 2.08 | 2.77 | 0.00 | 3.88 | 3.04 | 3.98 | 2.82 | 4.83 | 2.79 |
| 7 | 2.47 | 3.33 | 2.47 | 4.06 | 4.47 | 3.88 | 0.00 | 3.35 | 1.58 | 4.16 | 3.24 | 3.07 |
| 8 | 1.97 | 3.53 | 2.20 | 3.51 | 3.54 | 3.04 | 3.35 | 0.00 | 3.22 | 3.29 | 4.25 | 1.82 |
| 9 | 2.64 | 2.35 | 2.85 | 4.22 | 4.35 | 3.98 | 1.58 | 3.22 | 0.00 | 4.03 | 2.24 | 3.31 |
| 10 | 2.46 | 3.56 | 2.74 | 3.13 | 1.51 | 2.82 | 4.16 | 3.29 | 4.03 | 0.00 | 4.63 | 3.56 |
| 11 | 3.73 | 2.51 | 4.00 | 5.22 | 4.78 | 4.83 | 3.24 | 4.25 | 2.24 | 4.63 | 0.00 | 4.24 |
| 12 | 2.14 | 4.06 | 2.14 | 3.35 | 3.69 | 2.79 | 3.07 | 1.82 | 3.31 | 3.56 | 4.24 | 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 | 0.75 | 0.94 | 0.64 | 0.67 | 0.73 | 0.74 | 0.81 | 0.72 | 0.70 | 0.73 | 0.80 |
| 2 | 0.75 | 1.00 | 0.67 | 0.66 | 0.69 | 0.60 | 0.64 | 0.69 | 0.73 | 0.71 | 0.81 | 0.64 |
| 3 | 0.94 | 0.67 | 1.00 | 0.65 | 0.66 | 0.73 | 0.73 | 0.80 | 0.71 | 0.68 | 0.74 | 0.80 |
| 4 | 0.64 | 0.66 | 0.65 | 1.00 | 0.65 | 0.75 | 0.58 | 0.60 | 0.60 | 0.63 | 0.55 | 0.62 |
| 5 | 0.67 | 0.69 | 0.66 | 0.65 | 1.00 | 0.69 | 0.56 | 0.66 | 0.56 | 0.83 | 0.60 | 0.62 |
| 6 | 0.73 | 0.60 | 0.73 | 0.75 | 0.69 | 1.00 | 0.59 | 0.64 | 0.59 | 0.69 | 0.58 | 0.70 |
| 7 | 0.74 | 0.64 | 0.73 | 0.58 | 0.56 | 0.59 | 1.00 | 0.64 | 0.86 | 0.57 | 0.74 | 0.67 |
| 8 | 0.81 | 0.69 | 0.80 | 0.60 | 0.66 | 0.64 | 0.64 | 1.00 | 0.65 | 0.65 | 0.66 | 0.89 |
| 9 | 0.72 | 0.73 | 0.71 | 0.60 | 0.56 | 0.59 | 0.86 | 0.65 | 1.00 | 0.56 | 0.82 | 0.65 |
| 10 | 0.70 | 0.71 | 0.68 | 0.63 | 0.83 | 0.69 | 0.57 | 0.65 | 0.56 | 1.00 | 0.57 | 0.60 |
| 11 | 0.73 | 0.81 | 0.74 | 0.55 | 0.60 | 0.58 | 0.74 | 0.66 | 0.82 | 0.57 | 1.00 | 0.65 |
| 12 | 0.80 | 0.64 | 0.80 | 0.62 | 0.62 | 0.70 | 0.67 | 0.89 | 0.65 | 0.60 | 0.65 | 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