| Project Name | mutation3 |
| Project Name | mutation3 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 189.9 | 177.8 | 134.4 | 127.8 | 110.6 | 91.3 | 78.7 | 56.4 | 53.9 | 49.7 | 43.0 | 42.8 |
| Cluster size | 415 | 248 | 192 | 186 | 171 | 178 | 142 | 111 | 136 | 65 | 79 | 77 |
| Average cluster RMSD | 2.2 | 1.4 | 1.4 | 1.5 | 1.5 | 1.9 | 1.8 | 2.0 | 2.5 | 1.3 | 1.8 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.09 | 3.20 | 3.06 | 3.91 | 3.93 | 2.69 | 3.56 | 4.03 | 4.14 | 5.07 | 4.14 | 4.54 |
| GDT_TS | 0.61 | 0.64 | 0.66 | 0.61 | 0.59 | 0.70 | 0.60 | 0.58 | 0.56 | 0.54 | 0.60 | 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 | 2.79 | 2.89 | 4.96 | 5.35 | 3.33 | 4.21 | 4.59 | 2.95 | 3.94 | 3.06 | 5.03 |
| 2 | 2.79 | 0.00 | 1.47 | 4.70 | 4.76 | 2.30 | 3.97 | 4.03 | 3.04 | 4.20 | 2.45 | 4.60 |
| 3 | 2.89 | 1.47 | 0.00 | 4.13 | 4.01 | 2.32 | 3.36 | 3.43 | 2.60 | 3.46 | 2.21 | 4.21 |
| 4 | 4.96 | 4.70 | 4.13 | 0.00 | 3.36 | 4.84 | 2.40 | 2.59 | 4.19 | 4.28 | 4.21 | 2.71 |
| 5 | 5.35 | 4.76 | 4.01 | 3.36 | 0.00 | 4.68 | 3.92 | 4.23 | 3.99 | 4.53 | 4.43 | 3.93 |
| 6 | 3.33 | 2.30 | 2.32 | 4.84 | 4.68 | 0.00 | 3.75 | 4.06 | 3.53 | 4.71 | 3.58 | 5.41 |
| 7 | 4.21 | 3.97 | 3.36 | 2.40 | 3.92 | 3.75 | 0.00 | 2.29 | 3.33 | 3.68 | 3.56 | 3.21 |
| 8 | 4.59 | 4.03 | 3.43 | 2.59 | 4.23 | 4.06 | 2.29 | 0.00 | 4.03 | 3.87 | 3.65 | 2.84 |
| 9 | 2.95 | 3.04 | 2.60 | 4.19 | 3.99 | 3.53 | 3.33 | 4.03 | 0.00 | 2.24 | 2.03 | 4.08 |
| 10 | 3.94 | 4.20 | 3.46 | 4.28 | 4.53 | 4.71 | 3.68 | 3.87 | 2.24 | 0.00 | 2.22 | 4.00 |
| 11 | 3.06 | 2.45 | 2.21 | 4.21 | 4.43 | 3.58 | 3.56 | 3.65 | 2.03 | 2.22 | 0.00 | 3.70 |
| 12 | 5.03 | 4.60 | 4.21 | 2.71 | 3.93 | 5.41 | 3.21 | 2.84 | 4.08 | 4.00 | 3.70 | 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 | 0.65 | 0.65 | 0.54 | 0.49 | 0.66 | 0.57 | 0.54 | 0.67 | 0.57 | 0.68 | 0.54 |
| 2 | 0.65 | 1.00 | 0.84 | 0.61 | 0.67 | 0.79 | 0.61 | 0.58 | 0.69 | 0.59 | 0.78 | 0.69 |
| 3 | 0.65 | 0.84 | 1.00 | 0.62 | 0.68 | 0.80 | 0.66 | 0.65 | 0.77 | 0.71 | 0.88 | 0.70 |
| 4 | 0.54 | 0.61 | 0.62 | 1.00 | 0.63 | 0.56 | 0.73 | 0.84 | 0.57 | 0.58 | 0.60 | 0.79 |
| 5 | 0.49 | 0.67 | 0.68 | 0.63 | 1.00 | 0.64 | 0.62 | 0.62 | 0.59 | 0.57 | 0.61 | 0.69 |
| 6 | 0.66 | 0.79 | 0.80 | 0.56 | 0.64 | 1.00 | 0.66 | 0.64 | 0.71 | 0.65 | 0.81 | 0.63 |
| 7 | 0.57 | 0.61 | 0.66 | 0.73 | 0.62 | 0.66 | 1.00 | 0.81 | 0.69 | 0.65 | 0.67 | 0.73 |
| 8 | 0.54 | 0.58 | 0.65 | 0.84 | 0.62 | 0.64 | 0.81 | 1.00 | 0.63 | 0.62 | 0.67 | 0.77 |
| 9 | 0.67 | 0.69 | 0.77 | 0.57 | 0.59 | 0.71 | 0.69 | 0.63 | 1.00 | 0.80 | 0.86 | 0.60 |
| 10 | 0.57 | 0.59 | 0.71 | 0.58 | 0.57 | 0.65 | 0.65 | 0.62 | 0.80 | 1.00 | 0.77 | 0.57 |
| 11 | 0.68 | 0.78 | 0.88 | 0.60 | 0.61 | 0.81 | 0.67 | 0.67 | 0.86 | 0.77 | 1.00 | 0.67 |
| 12 | 0.54 | 0.69 | 0.70 | 0.79 | 0.69 | 0.63 | 0.73 | 0.77 | 0.60 | 0.57 | 0.67 | 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