| Project Name | A52V |
| Project Name | A52V |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 189.9 | 139.3 | 132.4 | 121.3 | 120.7 | 105.0 | 85.9 | 74.9 | 70.3 | 46.1 | 36.9 | 34.9 |
| Cluster size | 305 | 171 | 202 | 236 | 188 | 142 | 254 | 118 | 126 | 116 | 89 | 53 |
| Average cluster RMSD | 1.6 | 1.2 | 1.5 | 1.9 | 1.6 | 1.4 | 3.0 | 1.6 | 1.8 | 2.5 | 2.4 | 1.5 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.19 | 6.37 | 7.52 | 6.69 | 7.88 | 5.75 | 7.98 | 5.61 | 6.56 | 5.74 | 6.79 | 7.15 |
| GDT_TS | 0.51 | 0.53 | 0.48 | 0.49 | 0.43 | 0.52 | 0.44 | 0.52 | 0.55 | 0.56 | 0.49 | 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 | 4.05 | 3.42 | 4.28 | 3.84 | 3.77 | 3.41 | 4.38 | 3.50 | 3.53 | 1.55 | 4.73 |
| 2 | 4.05 | 0.00 | 5.32 | 3.67 | 5.97 | 2.51 | 5.16 | 3.11 | 4.20 | 3.53 | 4.30 | 3.14 |
| 3 | 3.42 | 5.32 | 0.00 | 6.47 | 1.93 | 4.82 | 2.57 | 5.07 | 3.71 | 4.33 | 3.21 | 6.04 |
| 4 | 4.28 | 3.67 | 6.47 | 0.00 | 6.75 | 3.84 | 5.71 | 4.39 | 4.66 | 4.19 | 4.99 | 2.72 |
| 5 | 3.84 | 5.97 | 1.93 | 6.75 | 0.00 | 5.68 | 2.24 | 5.80 | 4.55 | 5.14 | 3.86 | 6.48 |
| 6 | 3.77 | 2.51 | 4.82 | 3.84 | 5.68 | 0.00 | 4.95 | 2.08 | 3.56 | 2.98 | 3.65 | 3.76 |
| 7 | 3.41 | 5.16 | 2.57 | 5.71 | 2.24 | 4.95 | 0.00 | 5.21 | 4.16 | 4.68 | 3.79 | 5.20 |
| 8 | 4.38 | 3.11 | 5.07 | 4.39 | 5.80 | 2.08 | 5.21 | 0.00 | 2.95 | 2.28 | 4.37 | 3.64 |
| 9 | 3.50 | 4.20 | 3.71 | 4.66 | 4.55 | 3.56 | 4.16 | 2.95 | 0.00 | 1.64 | 3.73 | 4.03 |
| 10 | 3.53 | 3.53 | 4.33 | 4.19 | 5.14 | 2.98 | 4.68 | 2.28 | 1.64 | 0.00 | 3.72 | 3.79 |
| 11 | 1.55 | 4.30 | 3.21 | 4.99 | 3.86 | 3.65 | 3.79 | 4.37 | 3.73 | 3.72 | 0.00 | 5.45 |
| 12 | 4.73 | 3.14 | 6.04 | 2.72 | 6.48 | 3.76 | 5.20 | 3.64 | 4.03 | 3.79 | 5.45 | 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 | 0.59 | 0.62 | 0.69 | 0.58 | 0.66 | 0.62 | 0.67 | 0.64 | 0.66 | 0.82 | 0.60 |
| 2 | 0.59 | 1.00 | 0.56 | 0.65 | 0.48 | 0.75 | 0.49 | 0.68 | 0.63 | 0.66 | 0.59 | 0.65 |
| 3 | 0.62 | 0.56 | 1.00 | 0.51 | 0.78 | 0.54 | 0.67 | 0.54 | 0.63 | 0.55 | 0.67 | 0.57 |
| 4 | 0.69 | 0.65 | 0.51 | 1.00 | 0.48 | 0.60 | 0.48 | 0.58 | 0.53 | 0.57 | 0.58 | 0.70 |
| 5 | 0.58 | 0.48 | 0.78 | 0.48 | 1.00 | 0.48 | 0.79 | 0.48 | 0.55 | 0.51 | 0.57 | 0.48 |
| 6 | 0.66 | 0.75 | 0.54 | 0.60 | 0.48 | 1.00 | 0.48 | 0.81 | 0.63 | 0.68 | 0.68 | 0.62 |
| 7 | 0.62 | 0.49 | 0.67 | 0.48 | 0.79 | 0.48 | 1.00 | 0.51 | 0.55 | 0.51 | 0.57 | 0.52 |
| 8 | 0.67 | 0.68 | 0.54 | 0.58 | 0.48 | 0.81 | 0.51 | 1.00 | 0.68 | 0.74 | 0.65 | 0.61 |
| 9 | 0.64 | 0.63 | 0.63 | 0.53 | 0.55 | 0.63 | 0.55 | 0.68 | 1.00 | 0.82 | 0.64 | 0.64 |
| 10 | 0.66 | 0.66 | 0.55 | 0.57 | 0.51 | 0.68 | 0.51 | 0.74 | 0.82 | 1.00 | 0.62 | 0.56 |
| 11 | 0.82 | 0.59 | 0.67 | 0.58 | 0.57 | 0.68 | 0.57 | 0.65 | 0.64 | 0.62 | 1.00 | 0.58 |
| 12 | 0.60 | 0.65 | 0.57 | 0.70 | 0.48 | 0.62 | 0.52 | 0.61 | 0.64 | 0.56 | 0.58 | 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