| Project Name | kt56 |
| Project Name | kt56 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 173.8 | 128.2 | 119.5 | 113.5 | 104.9 | 93.2 | 74.9 | 64.2 | 57.7 | 53.9 | 43.1 | 35.9 |
| Cluster size | 236 | 187 | 185 | 169 | 262 | 197 | 143 | 159 | 139 | 139 | 118 | 66 |
| Average cluster RMSD | 1.4 | 1.5 | 1.5 | 1.5 | 2.5 | 2.1 | 1.9 | 2.5 | 2.4 | 2.6 | 2.7 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.32 | 3.46 | 5.09 | 3.13 | 4.28 | 4.79 | 3.09 | 4.50 | 3.61 | 5.61 | 4.52 | 4.00 |
| GDT_TS | 0.57 | 0.64 | 0.51 | 0.66 | 0.60 | 0.64 | 0.64 | 0.61 | 0.62 | 0.52 | 0.56 | 0.61 |
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 | 2.91 | 7.69 | 2.86 | 7.41 | 7.97 | 2.17 | 7.53 | 2.60 | 7.64 | 6.56 | 2.27 |
| 2 | 2.91 | 0.00 | 5.39 | 0.91 | 5.58 | 5.86 | 2.03 | 5.58 | 2.25 | 5.62 | 4.84 | 3.24 |
| 3 | 7.69 | 5.39 | 0.00 | 5.24 | 1.70 | 1.80 | 5.96 | 1.59 | 6.16 | 1.97 | 2.64 | 7.06 |
| 4 | 2.86 | 0.91 | 5.24 | 0.00 | 5.25 | 5.62 | 1.81 | 5.28 | 1.95 | 5.65 | 4.54 | 2.89 |
| 5 | 7.41 | 5.58 | 1.70 | 5.25 | 0.00 | 1.34 | 5.63 | 1.03 | 6.05 | 1.98 | 2.74 | 6.64 |
| 6 | 7.97 | 5.86 | 1.80 | 5.62 | 1.34 | 0.00 | 6.18 | 0.92 | 6.52 | 1.68 | 3.33 | 7.18 |
| 7 | 2.17 | 2.03 | 5.96 | 1.81 | 5.63 | 6.18 | 0.00 | 5.72 | 2.20 | 6.38 | 4.93 | 2.53 |
| 8 | 7.53 | 5.58 | 1.59 | 5.28 | 1.03 | 0.92 | 5.72 | 0.00 | 6.13 | 1.95 | 3.03 | 6.80 |
| 9 | 2.60 | 2.25 | 6.16 | 1.95 | 6.05 | 6.52 | 2.20 | 6.13 | 0.00 | 6.39 | 5.06 | 2.16 |
| 10 | 7.64 | 5.62 | 1.97 | 5.65 | 1.98 | 1.68 | 6.38 | 1.95 | 6.39 | 0.00 | 3.68 | 7.31 |
| 11 | 6.56 | 4.84 | 2.64 | 4.54 | 2.74 | 3.33 | 4.93 | 3.03 | 5.06 | 3.68 | 0.00 | 5.48 |
| 12 | 2.27 | 3.24 | 7.06 | 2.89 | 6.64 | 7.18 | 2.53 | 6.80 | 2.16 | 7.31 | 5.48 | 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 | 0.72 | 0.56 | 0.75 | 0.53 | 0.56 | 0.80 | 0.52 | 0.76 | 0.53 | 0.55 | 0.87 |
| 2 | 0.72 | 1.00 | 0.56 | 0.96 | 0.58 | 0.57 | 0.79 | 0.60 | 0.82 | 0.55 | 0.59 | 0.75 |
| 3 | 0.56 | 0.56 | 1.00 | 0.57 | 0.80 | 0.79 | 0.64 | 0.80 | 0.51 | 0.79 | 0.78 | 0.54 |
| 4 | 0.75 | 0.96 | 0.57 | 1.00 | 0.61 | 0.60 | 0.82 | 0.62 | 0.85 | 0.57 | 0.57 | 0.79 |
| 5 | 0.53 | 0.58 | 0.80 | 0.61 | 1.00 | 0.88 | 0.59 | 0.91 | 0.58 | 0.82 | 0.78 | 0.54 |
| 6 | 0.56 | 0.57 | 0.79 | 0.60 | 0.88 | 1.00 | 0.63 | 0.95 | 0.58 | 0.86 | 0.69 | 0.57 |
| 7 | 0.80 | 0.79 | 0.64 | 0.82 | 0.59 | 0.63 | 1.00 | 0.60 | 0.75 | 0.61 | 0.61 | 0.82 |
| 8 | 0.52 | 0.60 | 0.80 | 0.62 | 0.91 | 0.95 | 0.60 | 1.00 | 0.57 | 0.90 | 0.73 | 0.54 |
| 9 | 0.76 | 0.82 | 0.51 | 0.85 | 0.58 | 0.58 | 0.75 | 0.57 | 1.00 | 0.51 | 0.55 | 0.79 |
| 10 | 0.53 | 0.55 | 0.79 | 0.57 | 0.82 | 0.86 | 0.61 | 0.90 | 0.51 | 1.00 | 0.68 | 0.53 |
| 11 | 0.55 | 0.59 | 0.78 | 0.57 | 0.78 | 0.69 | 0.61 | 0.73 | 0.55 | 0.68 | 1.00 | 0.55 |
| 12 | 0.87 | 0.75 | 0.54 | 0.79 | 0.54 | 0.57 | 0.82 | 0.54 | 0.79 | 0.53 | 0.55 | 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