| Project Name | control20 |
| Project Name | control20 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 102.2 | 100.9 | 88.5 | 79.1 | 63.2 | 62.1 | 62.0 | 61.0 | 60.7 | 46.7 | 33.3 | 33.1 |
| Cluster size | 241 | 278 | 173 | 175 | 145 | 169 | 170 | 180 | 179 | 118 | 87 | 85 |
| Average cluster RMSD | 2.4 | 2.8 | 2.0 | 2.2 | 2.3 | 2.7 | 2.7 | 2.9 | 3.0 | 2.5 | 2.6 | 2.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.15 | 5.09 | 4.63 | 4.39 | 7.15 | 4.55 | 5.45 | 5.67 | 6.23 | 6.84 | 4.33 | 5.21 |
| GDT_TS | 0.56 | 0.57 | 0.48 | 0.56 | 0.56 | 0.57 | 0.55 | 0.56 | 0.58 | 0.57 | 0.52 | 0.56 |
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 | 3.79 | 5.56 | 3.59 | 7.90 | 3.94 | 3.92 | 4.29 | 7.30 | 5.88 | 2.81 | 5.72 |
| 2 | 3.79 | 0.00 | 4.91 | 4.75 | 5.72 | 4.67 | 2.26 | 5.20 | 4.87 | 5.95 | 4.16 | 4.93 |
| 3 | 5.56 | 4.91 | 0.00 | 6.28 | 6.81 | 5.92 | 5.04 | 6.93 | 6.07 | 7.69 | 5.91 | 2.77 |
| 4 | 3.59 | 4.75 | 6.28 | 0.00 | 7.52 | 2.40 | 4.95 | 3.95 | 6.62 | 5.09 | 2.20 | 6.78 |
| 5 | 7.90 | 5.72 | 6.81 | 7.52 | 0.00 | 6.78 | 5.20 | 5.54 | 1.70 | 4.54 | 7.08 | 6.10 |
| 6 | 3.94 | 4.67 | 5.92 | 2.40 | 6.78 | 0.00 | 4.51 | 3.38 | 6.01 | 4.33 | 2.69 | 6.17 |
| 7 | 3.92 | 2.26 | 5.04 | 4.95 | 5.20 | 4.51 | 0.00 | 4.20 | 4.72 | 5.10 | 4.12 | 4.28 |
| 8 | 4.29 | 5.20 | 6.93 | 3.95 | 5.54 | 3.38 | 4.20 | 0.00 | 5.31 | 2.80 | 3.49 | 6.24 |
| 9 | 7.30 | 4.87 | 6.07 | 6.62 | 1.70 | 6.01 | 4.72 | 5.31 | 0.00 | 4.46 | 6.30 | 5.85 |
| 10 | 5.88 | 5.95 | 7.69 | 5.09 | 4.54 | 4.33 | 5.10 | 2.80 | 4.46 | 0.00 | 4.85 | 7.19 |
| 11 | 2.81 | 4.16 | 5.91 | 2.20 | 7.08 | 2.69 | 4.12 | 3.49 | 6.30 | 4.85 | 0.00 | 6.10 |
| 12 | 5.72 | 4.93 | 2.77 | 6.78 | 6.10 | 6.17 | 4.28 | 6.24 | 5.85 | 7.19 | 6.10 | 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 | 0.56 | 0.63 | 0.66 | 0.62 | 0.68 | 0.63 | 0.63 | 0.65 | 0.77 | 0.69 |
| 2 | 0.69 | 1.00 | 0.52 | 0.55 | 0.65 | 0.50 | 0.86 | 0.54 | 0.67 | 0.57 | 0.64 | 0.60 |
| 3 | 0.56 | 0.52 | 1.00 | 0.59 | 0.61 | 0.54 | 0.54 | 0.56 | 0.60 | 0.53 | 0.58 | 0.76 |
| 4 | 0.63 | 0.55 | 0.59 | 1.00 | 0.60 | 0.85 | 0.47 | 0.83 | 0.60 | 0.78 | 0.74 | 0.62 |
| 5 | 0.66 | 0.65 | 0.61 | 0.60 | 1.00 | 0.57 | 0.64 | 0.63 | 0.96 | 0.68 | 0.60 | 0.72 |
| 6 | 0.62 | 0.50 | 0.54 | 0.85 | 0.57 | 1.00 | 0.47 | 0.78 | 0.59 | 0.75 | 0.70 | 0.60 |
| 7 | 0.68 | 0.86 | 0.54 | 0.47 | 0.64 | 0.47 | 1.00 | 0.52 | 0.65 | 0.55 | 0.60 | 0.63 |
| 8 | 0.63 | 0.54 | 0.56 | 0.83 | 0.63 | 0.78 | 0.52 | 1.00 | 0.62 | 0.82 | 0.75 | 0.60 |
| 9 | 0.63 | 0.67 | 0.60 | 0.60 | 0.96 | 0.59 | 0.65 | 0.62 | 1.00 | 0.68 | 0.61 | 0.71 |
| 10 | 0.65 | 0.57 | 0.53 | 0.78 | 0.68 | 0.75 | 0.55 | 0.82 | 0.68 | 1.00 | 0.72 | 0.61 |
| 11 | 0.77 | 0.64 | 0.58 | 0.74 | 0.60 | 0.70 | 0.60 | 0.75 | 0.61 | 0.72 | 1.00 | 0.57 |
| 12 | 0.69 | 0.60 | 0.76 | 0.62 | 0.72 | 0.60 | 0.63 | 0.60 | 0.71 | 0.61 | 0.57 | 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