| Project Name | CD44 |
| Project Name | CD44 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 222.3 | 163.8 | 156.8 | 137.8 | 121.1 | 99.7 | 98.3 | 95.6 | 90.9 | 78.1 | 76.8 | 60.0 |
| Cluster size | 291 | 252 | 235 | 185 | 192 | 130 | 145 | 129 | 121 | 118 | 95 | 107 |
| Average cluster RMSD | 1.3 | 1.5 | 1.5 | 1.3 | 1.6 | 1.3 | 1.5 | 1.4 | 1.3 | 1.5 | 1.2 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.07 | 2.97 | 2.77 | 3.59 | 2.79 | 3.29 | 2.88 | 2.69 | 2.62 | 3.26 | 2.53 | 3.41 |
| GDT_TS | 0.63 | 0.69 | 0.69 | 0.64 | 0.70 | 0.63 | 0.68 | 0.69 | 0.68 | 0.71 | 0.69 | 0.66 |
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 | 2.21 | 2.92 | 1.98 | 2.45 | 1.77 | 2.28 | 2.54 | 2.36 | 3.34 | 2.46 | 1.91 |
| 2 | 2.21 | 0.00 | 2.71 | 2.20 | 2.22 | 2.38 | 1.79 | 2.24 | 2.45 | 3.14 | 2.34 | 1.99 |
| 3 | 2.92 | 2.71 | 0.00 | 3.07 | 2.24 | 2.93 | 2.36 | 2.57 | 2.62 | 2.23 | 2.40 | 3.01 |
| 4 | 1.98 | 2.20 | 3.07 | 0.00 | 2.83 | 2.02 | 2.31 | 2.93 | 3.15 | 3.48 | 3.05 | 2.06 |
| 5 | 2.45 | 2.22 | 2.24 | 2.83 | 0.00 | 2.51 | 2.03 | 2.27 | 2.09 | 2.41 | 2.05 | 2.64 |
| 6 | 1.77 | 2.38 | 2.93 | 2.02 | 2.51 | 0.00 | 2.26 | 2.59 | 2.51 | 3.11 | 2.49 | 2.33 |
| 7 | 2.28 | 1.79 | 2.36 | 2.31 | 2.03 | 2.26 | 0.00 | 1.82 | 2.32 | 2.46 | 2.09 | 2.22 |
| 8 | 2.54 | 2.24 | 2.57 | 2.93 | 2.27 | 2.59 | 1.82 | 0.00 | 2.38 | 2.46 | 2.01 | 2.76 |
| 9 | 2.36 | 2.45 | 2.62 | 3.15 | 2.09 | 2.51 | 2.32 | 2.38 | 0.00 | 2.97 | 1.68 | 2.68 |
| 10 | 3.34 | 3.14 | 2.23 | 3.48 | 2.41 | 3.11 | 2.46 | 2.46 | 2.97 | 0.00 | 2.53 | 3.41 |
| 11 | 2.46 | 2.34 | 2.40 | 3.05 | 2.05 | 2.49 | 2.09 | 2.01 | 1.68 | 2.53 | 0.00 | 2.64 |
| 12 | 1.91 | 1.99 | 3.01 | 2.06 | 2.64 | 2.33 | 2.22 | 2.76 | 2.68 | 3.41 | 2.64 | 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 | 0.76 | 0.72 | 0.74 | 0.73 | 0.80 | 0.75 | 0.74 | 0.76 | 0.72 | 0.75 | 0.81 |
| 2 | 0.76 | 1.00 | 0.76 | 0.75 | 0.76 | 0.75 | 0.83 | 0.78 | 0.72 | 0.73 | 0.75 | 0.79 |
| 3 | 0.72 | 0.76 | 1.00 | 0.71 | 0.78 | 0.71 | 0.73 | 0.73 | 0.72 | 0.77 | 0.72 | 0.71 |
| 4 | 0.74 | 0.75 | 0.71 | 1.00 | 0.69 | 0.79 | 0.76 | 0.75 | 0.68 | 0.72 | 0.70 | 0.72 |
| 5 | 0.73 | 0.76 | 0.78 | 0.69 | 1.00 | 0.73 | 0.79 | 0.74 | 0.79 | 0.78 | 0.77 | 0.74 |
| 6 | 0.80 | 0.75 | 0.71 | 0.79 | 0.73 | 1.00 | 0.74 | 0.73 | 0.72 | 0.71 | 0.72 | 0.75 |
| 7 | 0.75 | 0.83 | 0.73 | 0.76 | 0.79 | 0.74 | 1.00 | 0.83 | 0.75 | 0.78 | 0.78 | 0.78 |
| 8 | 0.74 | 0.78 | 0.73 | 0.75 | 0.74 | 0.73 | 0.83 | 1.00 | 0.74 | 0.79 | 0.76 | 0.75 |
| 9 | 0.76 | 0.72 | 0.72 | 0.68 | 0.79 | 0.72 | 0.75 | 0.74 | 1.00 | 0.71 | 0.81 | 0.73 |
| 10 | 0.72 | 0.73 | 0.77 | 0.72 | 0.78 | 0.71 | 0.78 | 0.79 | 0.71 | 1.00 | 0.74 | 0.72 |
| 11 | 0.75 | 0.75 | 0.72 | 0.70 | 0.77 | 0.72 | 0.78 | 0.76 | 0.81 | 0.74 | 1.00 | 0.77 |
| 12 | 0.81 | 0.79 | 0.71 | 0.72 | 0.74 | 0.75 | 0.78 | 0.75 | 0.73 | 0.72 | 0.77 | 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