| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 199.4 | 193.9 | 152.1 | 141.1 | 136.6 | 132.3 | 118.7 | 117.4 | 82.0 | 63.1 | 56.8 | 32.8 |
| Cluster size | 288 | 236 | 191 | 176 | 203 | 210 | 161 | 191 | 123 | 97 | 65 | 59 |
| Average cluster RMSD | 1.4 | 1.2 | 1.3 | 1.2 | 1.5 | 1.6 | 1.4 | 1.6 | 1.5 | 1.5 | 1.1 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.61 | 7.93 | 6.65 | 6.26 | 6.85 | 5.61 | 5.74 | 6.24 | 6.80 | 5.17 | 6.33 | 5.58 |
| GDT_TS | 0.67 | 0.68 | 0.65 | 0.68 | 0.68 | 0.68 | 0.68 | 0.66 | 0.68 | 0.66 | 0.66 | 0.68 |
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 | 4.15 | 2.46 | 4.49 | 2.30 | 3.44 | 2.24 | 3.57 | 2.61 | 3.35 | 3.91 | 2.82 |
| 2 | 4.15 | 0.00 | 3.17 | 2.78 | 3.48 | 6.06 | 3.81 | 3.15 | 4.77 | 4.23 | 3.00 | 4.55 |
| 3 | 2.46 | 3.17 | 0.00 | 3.46 | 2.50 | 4.40 | 2.02 | 2.65 | 3.32 | 3.00 | 2.64 | 3.16 |
| 4 | 4.49 | 2.78 | 3.46 | 0.00 | 3.90 | 5.85 | 3.59 | 2.72 | 5.15 | 3.72 | 2.60 | 4.27 |
| 5 | 2.30 | 3.48 | 2.50 | 3.90 | 0.00 | 3.92 | 2.49 | 3.64 | 2.39 | 3.44 | 3.75 | 2.96 |
| 6 | 3.44 | 6.06 | 4.40 | 5.85 | 3.92 | 0.00 | 3.53 | 5.03 | 2.92 | 3.60 | 5.30 | 2.91 |
| 7 | 2.24 | 3.81 | 2.02 | 3.59 | 2.49 | 3.53 | 0.00 | 2.82 | 2.97 | 2.60 | 2.93 | 2.50 |
| 8 | 3.57 | 3.15 | 2.65 | 2.72 | 3.64 | 5.03 | 2.82 | 0.00 | 4.61 | 2.87 | 2.00 | 3.71 |
| 9 | 2.61 | 4.77 | 3.32 | 5.15 | 2.39 | 2.92 | 2.97 | 4.61 | 0.00 | 3.75 | 4.72 | 2.90 |
| 10 | 3.35 | 4.23 | 3.00 | 3.72 | 3.44 | 3.60 | 2.60 | 2.87 | 3.75 | 0.00 | 3.06 | 2.30 |
| 11 | 3.91 | 3.00 | 2.64 | 2.60 | 3.75 | 5.30 | 2.93 | 2.00 | 4.72 | 3.06 | 0.00 | 3.86 |
| 12 | 2.82 | 4.55 | 3.16 | 4.27 | 2.96 | 2.91 | 2.50 | 3.71 | 2.90 | 2.30 | 3.86 | 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 | 0.73 | 0.76 | 0.77 | 0.77 | 0.71 | 0.79 | 0.79 | 0.72 | 0.71 | 0.73 | 0.73 |
| 2 | 0.73 | 1.00 | 0.73 | 0.78 | 0.76 | 0.68 | 0.73 | 0.71 | 0.71 | 0.70 | 0.70 | 0.73 |
| 3 | 0.76 | 0.73 | 1.00 | 0.73 | 0.74 | 0.67 | 0.77 | 0.74 | 0.74 | 0.74 | 0.76 | 0.72 |
| 4 | 0.77 | 0.78 | 0.73 | 1.00 | 0.77 | 0.70 | 0.73 | 0.76 | 0.71 | 0.71 | 0.73 | 0.73 |
| 5 | 0.77 | 0.76 | 0.74 | 0.77 | 1.00 | 0.70 | 0.73 | 0.73 | 0.76 | 0.73 | 0.70 | 0.73 |
| 6 | 0.71 | 0.68 | 0.67 | 0.70 | 0.70 | 1.00 | 0.71 | 0.70 | 0.75 | 0.72 | 0.72 | 0.75 |
| 7 | 0.79 | 0.73 | 0.77 | 0.73 | 0.73 | 0.71 | 1.00 | 0.77 | 0.75 | 0.73 | 0.76 | 0.74 |
| 8 | 0.79 | 0.71 | 0.74 | 0.76 | 0.73 | 0.70 | 0.77 | 1.00 | 0.72 | 0.74 | 0.77 | 0.72 |
| 9 | 0.72 | 0.71 | 0.74 | 0.71 | 0.76 | 0.75 | 0.75 | 0.72 | 1.00 | 0.75 | 0.72 | 0.76 |
| 10 | 0.71 | 0.70 | 0.74 | 0.71 | 0.73 | 0.72 | 0.73 | 0.74 | 0.75 | 1.00 | 0.74 | 0.78 |
| 11 | 0.73 | 0.70 | 0.76 | 0.73 | 0.70 | 0.72 | 0.76 | 0.77 | 0.72 | 0.74 | 1.00 | 0.73 |
| 12 | 0.73 | 0.73 | 0.72 | 0.73 | 0.73 | 0.75 | 0.74 | 0.72 | 0.76 | 0.78 | 0.73 | 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