| Project Name | 1cd1 |
| Project Name | 1cd1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 198.8 | 141.5 | 136.8 | 125.6 | 111.5 | 105.5 | 97.6 | 89.0 | 88.2 | 75.5 | 60.8 | 56.9 |
| Cluster size | 324 | 222 | 223 | 202 | 169 | 165 | 149 | 133 | 114 | 108 | 97 | 94 |
| Average cluster RMSD | 1.6 | 1.6 | 1.6 | 1.6 | 1.5 | 1.6 | 1.5 | 1.5 | 1.3 | 1.4 | 1.6 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.92 | 6.81 | 6.53 | 6.75 | 5.51 | 6.38 | 6.20 | 7.27 | 5.65 | 6.93 | 5.50 | 6.38 |
| GDT_TS | 0.48 | 0.48 | 0.51 | 0.48 | 0.55 | 0.52 | 0.54 | 0.47 | 0.53 | 0.49 | 0.58 | 0.52 |
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 | 2.90 | 2.66 | 2.09 | 4.17 | 2.58 | 2.21 | 3.00 | 3.32 | 1.89 | 5.19 | 2.84 |
| 2 | 2.90 | 0.00 | 2.71 | 2.96 | 4.22 | 3.08 | 3.14 | 2.35 | 3.54 | 3.14 | 4.95 | 2.90 |
| 3 | 2.66 | 2.71 | 0.00 | 2.73 | 3.86 | 2.25 | 2.46 | 3.08 | 3.24 | 2.78 | 4.89 | 2.40 |
| 4 | 2.09 | 2.96 | 2.73 | 0.00 | 4.36 | 2.58 | 2.22 | 3.12 | 3.61 | 2.30 | 5.45 | 2.99 |
| 5 | 4.17 | 4.22 | 3.86 | 4.36 | 0.00 | 3.79 | 3.89 | 4.17 | 2.61 | 4.27 | 2.58 | 3.28 |
| 6 | 2.58 | 3.08 | 2.25 | 2.58 | 3.79 | 0.00 | 2.30 | 3.26 | 3.19 | 2.74 | 4.98 | 2.62 |
| 7 | 2.21 | 3.14 | 2.46 | 2.22 | 3.89 | 2.30 | 0.00 | 3.19 | 2.77 | 2.56 | 4.82 | 2.34 |
| 8 | 3.00 | 2.35 | 3.08 | 3.12 | 4.17 | 3.26 | 3.19 | 0.00 | 3.42 | 3.41 | 4.96 | 2.69 |
| 9 | 3.32 | 3.54 | 3.24 | 3.61 | 2.61 | 3.19 | 2.77 | 3.42 | 0.00 | 3.65 | 3.44 | 2.55 |
| 10 | 1.89 | 3.14 | 2.78 | 2.30 | 4.27 | 2.74 | 2.56 | 3.41 | 3.65 | 0.00 | 5.32 | 2.99 |
| 11 | 5.19 | 4.95 | 4.89 | 5.45 | 2.58 | 4.98 | 4.82 | 4.96 | 3.44 | 5.32 | 0.00 | 4.23 |
| 12 | 2.84 | 2.90 | 2.40 | 2.99 | 3.28 | 2.62 | 2.34 | 2.69 | 2.55 | 2.99 | 4.23 | 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 | 0.69 | 0.69 | 0.77 | 0.65 | 0.71 | 0.72 | 0.70 | 0.66 | 0.80 | 0.56 | 0.64 |
| 2 | 0.69 | 1.00 | 0.70 | 0.68 | 0.65 | 0.69 | 0.68 | 0.75 | 0.66 | 0.66 | 0.60 | 0.68 |
| 3 | 0.69 | 0.70 | 1.00 | 0.66 | 0.72 | 0.78 | 0.74 | 0.69 | 0.69 | 0.67 | 0.62 | 0.74 |
| 4 | 0.77 | 0.68 | 0.66 | 1.00 | 0.66 | 0.68 | 0.70 | 0.68 | 0.65 | 0.74 | 0.58 | 0.63 |
| 5 | 0.65 | 0.65 | 0.72 | 0.66 | 1.00 | 0.73 | 0.73 | 0.65 | 0.76 | 0.63 | 0.71 | 0.75 |
| 6 | 0.71 | 0.69 | 0.78 | 0.68 | 0.73 | 1.00 | 0.77 | 0.69 | 0.71 | 0.69 | 0.62 | 0.71 |
| 7 | 0.72 | 0.68 | 0.74 | 0.70 | 0.73 | 0.77 | 1.00 | 0.68 | 0.77 | 0.66 | 0.65 | 0.73 |
| 8 | 0.70 | 0.75 | 0.69 | 0.68 | 0.65 | 0.69 | 0.68 | 1.00 | 0.65 | 0.67 | 0.58 | 0.69 |
| 9 | 0.66 | 0.66 | 0.69 | 0.65 | 0.76 | 0.71 | 0.77 | 0.65 | 1.00 | 0.61 | 0.68 | 0.75 |
| 10 | 0.80 | 0.66 | 0.67 | 0.74 | 0.63 | 0.69 | 0.66 | 0.67 | 0.61 | 1.00 | 0.54 | 0.62 |
| 11 | 0.56 | 0.60 | 0.62 | 0.58 | 0.71 | 0.62 | 0.65 | 0.58 | 0.68 | 0.54 | 1.00 | 0.68 |
| 12 | 0.64 | 0.68 | 0.74 | 0.63 | 0.75 | 0.71 | 0.73 | 0.69 | 0.75 | 0.62 | 0.68 | 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