| Project Name | Lst |
| Project Name | Lst |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 162.5 | 146.2 | 131.1 | 119.1 | 111.6 | 107.3 | 92.9 | 90.1 | 84.4 | 70.6 | 69.4 | 69.1 |
| Cluster size | 259 | 240 | 214 | 194 | 172 | 164 | 143 | 146 | 131 | 108 | 118 | 111 |
| Average cluster RMSD | 1.6 | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.5 | 1.6 | 1.6 | 1.5 | 1.7 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.41 | 6.46 | 6.55 | 6.41 | 6.99 | 6.70 | 6.74 | 6.47 | 5.70 | 5.42 | 5.87 | 6.32 |
| GDT_TS | 0.46 | 0.47 | 0.46 | 0.47 | 0.45 | 0.44 | 0.45 | 0.46 | 0.52 | 0.49 | 0.50 | 0.47 |
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 | 2.64 | 2.61 | 2.56 | 2.54 | 2.77 | 2.78 | 3.17 | 3.35 | 3.71 | 3.38 |
| 2 | 2.79 | 0.00 | 2.63 | 2.76 | 2.64 | 2.71 | 2.69 | 2.31 | 3.07 | 3.49 | 3.67 | 2.85 |
| 3 | 2.64 | 2.63 | 0.00 | 2.87 | 2.47 | 2.47 | 2.23 | 2.71 | 3.59 | 3.90 | 3.96 | 2.88 |
| 4 | 2.61 | 2.76 | 2.87 | 0.00 | 3.07 | 2.81 | 3.07 | 2.82 | 2.63 | 2.88 | 3.07 | 3.16 |
| 5 | 2.56 | 2.64 | 2.47 | 3.07 | 0.00 | 2.31 | 2.38 | 2.89 | 3.60 | 4.13 | 4.18 | 3.43 |
| 6 | 2.54 | 2.71 | 2.47 | 2.81 | 2.31 | 0.00 | 2.52 | 2.71 | 3.44 | 3.79 | 3.97 | 3.17 |
| 7 | 2.77 | 2.69 | 2.23 | 3.07 | 2.38 | 2.52 | 0.00 | 2.66 | 3.67 | 3.89 | 4.17 | 3.11 |
| 8 | 2.78 | 2.31 | 2.71 | 2.82 | 2.89 | 2.71 | 2.66 | 0.00 | 3.36 | 3.57 | 3.93 | 2.63 |
| 9 | 3.17 | 3.07 | 3.59 | 2.63 | 3.60 | 3.44 | 3.67 | 3.36 | 0.00 | 2.54 | 2.64 | 3.71 |
| 10 | 3.35 | 3.49 | 3.90 | 2.88 | 4.13 | 3.79 | 3.89 | 3.57 | 2.54 | 0.00 | 2.95 | 3.62 |
| 11 | 3.71 | 3.67 | 3.96 | 3.07 | 4.18 | 3.97 | 4.17 | 3.93 | 2.64 | 2.95 | 0.00 | 4.17 |
| 12 | 3.38 | 2.85 | 2.88 | 3.16 | 3.43 | 3.17 | 3.11 | 2.63 | 3.71 | 3.62 | 4.17 | 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 | 0.63 | 0.65 | 0.68 | 0.68 | 0.71 | 0.63 | 0.64 | 0.63 | 0.65 | 0.60 | 0.59 |
| 2 | 0.63 | 1.00 | 0.67 | 0.64 | 0.71 | 0.66 | 0.66 | 0.72 | 0.62 | 0.60 | 0.56 | 0.66 |
| 3 | 0.65 | 0.67 | 1.00 | 0.64 | 0.69 | 0.69 | 0.76 | 0.68 | 0.58 | 0.60 | 0.56 | 0.68 |
| 4 | 0.68 | 0.64 | 0.64 | 1.00 | 0.64 | 0.68 | 0.61 | 0.64 | 0.69 | 0.69 | 0.63 | 0.61 |
| 5 | 0.68 | 0.71 | 0.69 | 0.64 | 1.00 | 0.72 | 0.71 | 0.69 | 0.61 | 0.61 | 0.57 | 0.62 |
| 6 | 0.71 | 0.66 | 0.69 | 0.68 | 0.72 | 1.00 | 0.70 | 0.67 | 0.60 | 0.62 | 0.59 | 0.64 |
| 7 | 0.63 | 0.66 | 0.76 | 0.61 | 0.71 | 0.70 | 1.00 | 0.71 | 0.57 | 0.58 | 0.56 | 0.67 |
| 8 | 0.64 | 0.72 | 0.68 | 0.64 | 0.69 | 0.67 | 0.71 | 1.00 | 0.58 | 0.58 | 0.55 | 0.70 |
| 9 | 0.63 | 0.62 | 0.58 | 0.69 | 0.61 | 0.60 | 0.57 | 0.58 | 1.00 | 0.70 | 0.68 | 0.57 |
| 10 | 0.65 | 0.60 | 0.60 | 0.69 | 0.61 | 0.62 | 0.58 | 0.58 | 0.70 | 1.00 | 0.66 | 0.56 |
| 11 | 0.60 | 0.56 | 0.56 | 0.63 | 0.57 | 0.59 | 0.56 | 0.55 | 0.68 | 0.66 | 1.00 | 0.55 |
| 12 | 0.59 | 0.66 | 0.68 | 0.61 | 0.62 | 0.64 | 0.67 | 0.70 | 0.57 | 0.56 | 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