| Project Name | VA10C |
| Project Name | VA10C |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 119.1 | 107.2 | 106.6 | 96.5 | 94.2 | 85.6 | 81.5 | 79.2 | 78.6 | 69.9 | 66.0 | 31.5 |
| Cluster size | 242 | 217 | 192 | 199 | 206 | 161 | 152 | 159 | 163 | 144 | 112 | 53 |
| Average cluster RMSD | 2.0 | 2.0 | 1.8 | 2.1 | 2.2 | 1.9 | 1.9 | 2.0 | 2.1 | 2.1 | 1.7 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.48 | 6.53 | 5.91 | 6.34 | 5.54 | 5.65 | 5.34 | 6.94 | 5.89 | 5.81 | 6.27 | 5.94 |
| GDT_TS | 0.48 | 0.46 | 0.48 | 0.47 | 0.52 | 0.50 | 0.49 | 0.41 | 0.47 | 0.45 | 0.44 | 0.48 |
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 | 3.95 | 2.76 | 4.08 | 3.58 | 3.44 | 2.57 | 3.78 | 3.20 | 3.27 | 3.77 | 3.47 |
| 2 | 3.95 | 0.00 | 4.19 | 3.26 | 4.88 | 3.45 | 4.47 | 2.78 | 3.65 | 3.25 | 2.78 | 4.17 |
| 3 | 2.76 | 4.19 | 0.00 | 3.96 | 4.20 | 3.43 | 3.25 | 4.15 | 3.34 | 3.46 | 4.04 | 3.83 |
| 4 | 4.08 | 3.26 | 3.96 | 0.00 | 5.53 | 3.25 | 4.58 | 3.79 | 4.31 | 2.94 | 3.11 | 4.46 |
| 5 | 3.58 | 4.88 | 4.20 | 5.53 | 0.00 | 4.64 | 3.25 | 4.89 | 3.40 | 4.63 | 5.09 | 4.52 |
| 6 | 3.44 | 3.45 | 3.43 | 3.25 | 4.64 | 0.00 | 3.97 | 3.43 | 3.73 | 3.43 | 3.09 | 4.45 |
| 7 | 2.57 | 4.47 | 3.25 | 4.58 | 3.25 | 3.97 | 0.00 | 4.54 | 2.95 | 3.55 | 4.28 | 3.33 |
| 8 | 3.78 | 2.78 | 4.15 | 3.79 | 4.89 | 3.43 | 4.54 | 0.00 | 3.64 | 3.64 | 3.38 | 4.39 |
| 9 | 3.20 | 3.65 | 3.34 | 4.31 | 3.40 | 3.73 | 2.95 | 3.64 | 0.00 | 3.49 | 4.07 | 3.69 |
| 10 | 3.27 | 3.25 | 3.46 | 2.94 | 4.63 | 3.43 | 3.55 | 3.64 | 3.49 | 0.00 | 3.35 | 4.09 |
| 11 | 3.77 | 2.78 | 4.04 | 3.11 | 5.09 | 3.09 | 4.28 | 3.38 | 4.07 | 3.35 | 0.00 | 3.93 |
| 12 | 3.47 | 4.17 | 3.83 | 4.46 | 4.52 | 4.45 | 3.33 | 4.39 | 3.69 | 4.09 | 3.93 | 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 | 0.60 | 0.69 | 0.57 | 0.63 | 0.62 | 0.68 | 0.61 | 0.63 | 0.66 | 0.57 | 0.65 |
| 2 | 0.60 | 1.00 | 0.59 | 0.68 | 0.54 | 0.64 | 0.55 | 0.69 | 0.57 | 0.69 | 0.70 | 0.61 |
| 3 | 0.69 | 0.59 | 1.00 | 0.58 | 0.59 | 0.64 | 0.65 | 0.60 | 0.65 | 0.63 | 0.57 | 0.71 |
| 4 | 0.57 | 0.68 | 0.58 | 1.00 | 0.51 | 0.66 | 0.55 | 0.63 | 0.56 | 0.70 | 0.72 | 0.59 |
| 5 | 0.63 | 0.54 | 0.59 | 0.51 | 1.00 | 0.55 | 0.66 | 0.50 | 0.61 | 0.55 | 0.51 | 0.62 |
| 6 | 0.62 | 0.64 | 0.64 | 0.66 | 0.55 | 1.00 | 0.60 | 0.60 | 0.59 | 0.64 | 0.65 | 0.62 |
| 7 | 0.68 | 0.55 | 0.65 | 0.55 | 0.66 | 0.60 | 1.00 | 0.55 | 0.67 | 0.61 | 0.54 | 0.72 |
| 8 | 0.61 | 0.69 | 0.60 | 0.63 | 0.50 | 0.60 | 0.55 | 1.00 | 0.56 | 0.64 | 0.63 | 0.61 |
| 9 | 0.63 | 0.57 | 0.65 | 0.56 | 0.61 | 0.59 | 0.67 | 0.56 | 1.00 | 0.59 | 0.52 | 0.73 |
| 10 | 0.66 | 0.69 | 0.63 | 0.70 | 0.55 | 0.64 | 0.61 | 0.64 | 0.59 | 1.00 | 0.71 | 0.64 |
| 11 | 0.57 | 0.70 | 0.57 | 0.72 | 0.51 | 0.65 | 0.54 | 0.63 | 0.52 | 0.71 | 1.00 | 0.60 |
| 12 | 0.65 | 0.61 | 0.71 | 0.59 | 0.62 | 0.62 | 0.72 | 0.61 | 0.73 | 0.64 | 0.60 | 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