| Project Name |
| Project Name |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 179.0 | 169.1 | 168.9 | 146.6 | 146.3 | 139.0 | 130.0 | 122.7 | 113.3 | 104.1 | 80.3 | 67.7 |
| Cluster size | 236 | 214 | 240 | 175 | 184 | 180 | 146 | 158 | 157 | 132 | 104 | 74 |
| Average cluster RMSD | 1.3 | 1.3 | 1.4 | 1.2 | 1.3 | 1.3 | 1.1 | 1.3 | 1.4 | 1.3 | 1.3 | 1.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.70 | 5.04 | 7.68 | 5.57 | 4.98 | 6.06 | 4.57 | 4.86 | 4.41 | 8.17 | 4.63 | 4.35 |
| GDT_TS | 0.52 | 0.54 | 0.47 | 0.44 | 0.48 | 0.46 | 0.56 | 0.54 | 0.47 | 0.42 | 0.55 | 0.57 |
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 | 3.28 | 6.92 | 4.49 | 4.51 | 4.26 | 3.04 | 2.47 | 4.50 | 7.25 | 2.58 | 2.43 |
| 2 | 3.28 | 0.00 | 6.82 | 3.48 | 4.50 | 5.89 | 2.52 | 3.62 | 4.96 | 5.89 | 3.32 | 3.19 |
| 3 | 6.92 | 6.82 | 0.00 | 6.85 | 6.14 | 7.33 | 6.36 | 7.53 | 6.60 | 8.45 | 7.00 | 6.66 |
| 4 | 4.49 | 3.48 | 6.85 | 0.00 | 4.59 | 6.62 | 3.38 | 4.92 | 4.89 | 5.42 | 4.52 | 4.17 |
| 5 | 4.51 | 4.50 | 6.14 | 4.59 | 0.00 | 5.40 | 4.28 | 4.91 | 3.47 | 6.44 | 4.83 | 4.12 |
| 6 | 4.26 | 5.89 | 7.33 | 6.62 | 5.40 | 0.00 | 5.43 | 4.44 | 5.11 | 9.19 | 4.55 | 4.73 |
| 7 | 3.04 | 2.52 | 6.36 | 3.38 | 4.28 | 5.43 | 0.00 | 3.49 | 4.55 | 6.30 | 3.10 | 2.83 |
| 8 | 2.47 | 3.62 | 7.53 | 4.92 | 4.91 | 4.44 | 3.49 | 0.00 | 4.76 | 7.23 | 2.80 | 2.73 |
| 9 | 4.50 | 4.96 | 6.60 | 4.89 | 3.47 | 5.11 | 4.55 | 4.76 | 0.00 | 7.34 | 4.81 | 4.04 |
| 10 | 7.25 | 5.89 | 8.45 | 5.42 | 6.44 | 9.19 | 6.30 | 7.23 | 7.34 | 0.00 | 7.10 | 6.56 |
| 11 | 2.58 | 3.32 | 7.00 | 4.52 | 4.83 | 4.55 | 3.10 | 2.80 | 4.81 | 7.10 | 0.00 | 2.63 |
| 12 | 2.43 | 3.19 | 6.66 | 4.17 | 4.12 | 4.73 | 2.83 | 2.73 | 4.04 | 6.56 | 2.63 | 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 | 0.57 | 0.49 | 0.61 | 0.55 | 0.67 | 0.69 | 0.53 | 0.51 | 0.68 | 0.71 |
| 2 | 0.66 | 1.00 | 0.52 | 0.59 | 0.57 | 0.52 | 0.70 | 0.65 | 0.55 | 0.54 | 0.65 | 0.68 |
| 3 | 0.57 | 0.52 | 1.00 | 0.53 | 0.59 | 0.50 | 0.55 | 0.52 | 0.54 | 0.53 | 0.56 | 0.56 |
| 4 | 0.49 | 0.59 | 0.53 | 1.00 | 0.53 | 0.43 | 0.57 | 0.51 | 0.60 | 0.53 | 0.51 | 0.55 |
| 5 | 0.61 | 0.57 | 0.59 | 0.53 | 1.00 | 0.51 | 0.57 | 0.57 | 0.57 | 0.52 | 0.59 | 0.60 |
| 6 | 0.55 | 0.52 | 0.50 | 0.43 | 0.51 | 1.00 | 0.53 | 0.57 | 0.48 | 0.46 | 0.56 | 0.54 |
| 7 | 0.67 | 0.70 | 0.55 | 0.57 | 0.57 | 0.53 | 1.00 | 0.67 | 0.55 | 0.53 | 0.65 | 0.68 |
| 8 | 0.69 | 0.65 | 0.52 | 0.51 | 0.57 | 0.57 | 0.67 | 1.00 | 0.51 | 0.47 | 0.68 | 0.69 |
| 9 | 0.53 | 0.55 | 0.54 | 0.60 | 0.57 | 0.48 | 0.55 | 0.51 | 1.00 | 0.48 | 0.50 | 0.56 |
| 10 | 0.51 | 0.54 | 0.53 | 0.53 | 0.52 | 0.46 | 0.53 | 0.47 | 0.48 | 1.00 | 0.50 | 0.51 |
| 11 | 0.68 | 0.65 | 0.56 | 0.51 | 0.59 | 0.56 | 0.65 | 0.68 | 0.50 | 0.50 | 1.00 | 0.71 |
| 12 | 0.71 | 0.68 | 0.56 | 0.55 | 0.60 | 0.54 | 0.68 | 0.69 | 0.56 | 0.51 | 0.71 | 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