| Project Name | 55 |
| Project Name | 55 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 165.3 | 161.3 | 129.5 | 123.5 | 111.8 | 100.7 | 94.7 | 86.1 | 58.1 | 54.6 | 54.5 | 35.1 |
| Cluster size | 306 | 239 | 238 | 211 | 152 | 129 | 152 | 169 | 110 | 103 | 118 | 73 |
| Average cluster RMSD | 1.9 | 1.5 | 1.8 | 1.7 | 1.4 | 1.3 | 1.6 | 2.0 | 1.9 | 1.9 | 2.2 | 2.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.87 | 5.40 | 5.97 | 6.05 | 6.31 | 4.82 | 3.50 | 6.46 | 5.59 | 4.39 | 7.20 | 4.17 |
| GDT_TS | 0.54 | 0.48 | 0.42 | 0.45 | 0.41 | 0.43 | 0.59 | 0.39 | 0.46 | 0.54 | 0.41 | 0.51 |
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 | 3.56 | 4.21 | 3.99 | 5.05 | 2.52 | 3.04 | 4.99 | 3.73 | 3.04 | 5.40 | 2.17 |
| 2 | 3.56 | 0.00 | 2.31 | 3.50 | 2.89 | 3.35 | 3.78 | 3.16 | 3.92 | 4.03 | 4.62 | 3.65 |
| 3 | 4.21 | 2.31 | 0.00 | 3.16 | 1.80 | 3.79 | 4.26 | 2.40 | 3.77 | 4.66 | 3.84 | 4.16 |
| 4 | 3.99 | 3.50 | 3.16 | 0.00 | 4.45 | 3.21 | 3.93 | 4.20 | 1.88 | 4.20 | 3.89 | 3.82 |
| 5 | 5.05 | 2.89 | 1.80 | 4.45 | 0.00 | 4.70 | 4.81 | 2.26 | 4.86 | 5.25 | 4.45 | 4.95 |
| 6 | 2.52 | 3.35 | 3.79 | 3.21 | 4.70 | 0.00 | 2.59 | 4.39 | 2.88 | 2.52 | 4.57 | 1.78 |
| 7 | 3.04 | 3.78 | 4.26 | 3.93 | 4.81 | 2.59 | 0.00 | 4.91 | 3.41 | 2.54 | 5.46 | 2.47 |
| 8 | 4.99 | 3.16 | 2.40 | 4.20 | 2.26 | 4.39 | 4.91 | 0.00 | 4.23 | 4.85 | 3.32 | 4.98 |
| 9 | 3.73 | 3.92 | 3.77 | 1.88 | 4.86 | 2.88 | 3.41 | 4.23 | 0.00 | 3.44 | 3.83 | 3.53 |
| 10 | 3.04 | 4.03 | 4.66 | 4.20 | 5.25 | 2.52 | 2.54 | 4.85 | 3.44 | 0.00 | 5.54 | 2.58 |
| 11 | 5.40 | 4.62 | 3.84 | 3.89 | 4.45 | 4.57 | 5.46 | 3.32 | 3.83 | 5.54 | 0.00 | 5.41 |
| 12 | 2.17 | 3.65 | 4.16 | 3.82 | 4.95 | 1.78 | 2.47 | 4.98 | 3.53 | 2.58 | 5.41 | 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 | 0.66 | 0.59 | 0.71 | 0.48 | 0.79 | 0.70 | 0.51 | 0.66 | 0.70 | 0.58 | 0.86 |
| 2 | 0.66 | 1.00 | 0.71 | 0.57 | 0.66 | 0.67 | 0.59 | 0.64 | 0.57 | 0.64 | 0.57 | 0.64 |
| 3 | 0.59 | 0.71 | 1.00 | 0.63 | 0.78 | 0.61 | 0.57 | 0.78 | 0.60 | 0.59 | 0.67 | 0.60 |
| 4 | 0.71 | 0.57 | 0.63 | 1.00 | 0.54 | 0.74 | 0.64 | 0.55 | 0.84 | 0.65 | 0.61 | 0.69 |
| 5 | 0.48 | 0.66 | 0.78 | 0.54 | 1.00 | 0.51 | 0.52 | 0.89 | 0.54 | 0.51 | 0.59 | 0.50 |
| 6 | 0.79 | 0.67 | 0.61 | 0.74 | 0.51 | 1.00 | 0.72 | 0.54 | 0.70 | 0.75 | 0.59 | 0.87 |
| 7 | 0.70 | 0.59 | 0.57 | 0.64 | 0.52 | 0.72 | 1.00 | 0.54 | 0.66 | 0.75 | 0.55 | 0.73 |
| 8 | 0.51 | 0.64 | 0.78 | 0.55 | 0.89 | 0.54 | 0.54 | 1.00 | 0.57 | 0.55 | 0.63 | 0.53 |
| 9 | 0.66 | 0.57 | 0.60 | 0.84 | 0.54 | 0.70 | 0.66 | 0.57 | 1.00 | 0.61 | 0.60 | 0.65 |
| 10 | 0.70 | 0.64 | 0.59 | 0.65 | 0.51 | 0.75 | 0.75 | 0.55 | 0.61 | 1.00 | 0.54 | 0.77 |
| 11 | 0.58 | 0.57 | 0.67 | 0.61 | 0.59 | 0.59 | 0.55 | 0.63 | 0.60 | 0.54 | 1.00 | 0.58 |
| 12 | 0.86 | 0.64 | 0.60 | 0.69 | 0.50 | 0.87 | 0.73 | 0.53 | 0.65 | 0.77 | 0.58 | 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