| Project Name | V134A |
| Project Name | V134A |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 181.8 | 130.7 | 122.3 | 119.0 | 103.7 | 81.6 | 73.4 | 67.5 | 52.0 | 51.4 | 47.7 | 28.8 |
| Cluster size | 283 | 250 | 245 | 207 | 176 | 187 | 160 | 110 | 142 | 104 | 79 | 57 |
| Average cluster RMSD | 1.6 | 1.9 | 2.0 | 1.7 | 1.7 | 2.3 | 2.2 | 1.6 | 2.7 | 2.0 | 1.7 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.28 | 2.54 | 2.58 | 2.41 | 3.55 | 4.31 | 3.66 | 3.24 | 3.18 | 4.04 | 3.62 | 3.46 |
| GDT_TS | 0.57 | 0.76 | 0.70 | 0.75 | 0.66 | 0.54 | 0.67 | 0.68 | 0.74 | 0.57 | 0.70 | 0.73 |
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 | 3.60 | 4.93 | 3.51 | 4.76 | 2.15 | 3.85 | 5.06 | 3.93 | 1.76 | 4.22 | 3.43 |
| 2 | 3.60 | 0.00 | 2.88 | 1.83 | 3.02 | 3.35 | 2.25 | 2.87 | 2.12 | 3.43 | 3.01 | 2.69 |
| 3 | 4.93 | 2.88 | 0.00 | 2.75 | 3.00 | 4.41 | 2.79 | 3.42 | 2.91 | 4.72 | 3.62 | 3.95 |
| 4 | 3.51 | 1.83 | 2.75 | 0.00 | 2.62 | 3.27 | 2.81 | 2.83 | 2.25 | 2.98 | 2.86 | 2.54 |
| 5 | 4.76 | 3.02 | 3.00 | 2.62 | 0.00 | 4.46 | 3.13 | 2.45 | 2.50 | 4.64 | 2.90 | 3.46 |
| 6 | 2.15 | 3.35 | 4.41 | 3.27 | 4.46 | 0.00 | 3.18 | 4.91 | 3.47 | 1.62 | 3.58 | 3.01 |
| 7 | 3.85 | 2.25 | 2.79 | 2.81 | 3.13 | 3.18 | 0.00 | 4.09 | 2.08 | 3.89 | 2.85 | 2.89 |
| 8 | 5.06 | 2.87 | 3.42 | 2.83 | 2.45 | 4.91 | 4.09 | 0.00 | 3.21 | 4.69 | 3.43 | 3.96 |
| 9 | 3.93 | 2.12 | 2.91 | 2.25 | 2.50 | 3.47 | 2.08 | 3.21 | 0.00 | 3.78 | 2.09 | 2.45 |
| 10 | 1.76 | 3.43 | 4.72 | 2.98 | 4.64 | 1.62 | 3.89 | 4.69 | 3.78 | 0.00 | 3.78 | 3.33 |
| 11 | 4.22 | 3.01 | 3.62 | 2.86 | 2.90 | 3.58 | 2.85 | 3.43 | 2.09 | 3.78 | 0.00 | 2.16 |
| 12 | 3.43 | 2.69 | 3.95 | 2.54 | 3.46 | 3.01 | 2.89 | 3.96 | 2.45 | 3.33 | 2.16 | 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 | 0.64 | 0.56 | 0.62 | 0.61 | 0.73 | 0.62 | 0.63 | 0.56 | 0.79 | 0.64 | 0.69 |
| 2 | 0.64 | 1.00 | 0.72 | 0.88 | 0.69 | 0.68 | 0.77 | 0.69 | 0.81 | 0.68 | 0.75 | 0.90 |
| 3 | 0.56 | 0.72 | 1.00 | 0.77 | 0.75 | 0.64 | 0.73 | 0.71 | 0.73 | 0.63 | 0.72 | 0.69 |
| 4 | 0.62 | 0.88 | 0.77 | 1.00 | 0.70 | 0.69 | 0.69 | 0.72 | 0.83 | 0.70 | 0.77 | 0.85 |
| 5 | 0.61 | 0.69 | 0.75 | 0.70 | 1.00 | 0.62 | 0.67 | 0.77 | 0.74 | 0.62 | 0.72 | 0.66 |
| 6 | 0.73 | 0.68 | 0.64 | 0.69 | 0.62 | 1.00 | 0.67 | 0.64 | 0.68 | 0.86 | 0.77 | 0.68 |
| 7 | 0.62 | 0.77 | 0.73 | 0.69 | 0.67 | 0.67 | 1.00 | 0.65 | 0.78 | 0.61 | 0.75 | 0.76 |
| 8 | 0.63 | 0.69 | 0.71 | 0.72 | 0.77 | 0.64 | 0.65 | 1.00 | 0.76 | 0.65 | 0.70 | 0.64 |
| 9 | 0.56 | 0.81 | 0.73 | 0.83 | 0.74 | 0.68 | 0.78 | 0.76 | 1.00 | 0.64 | 0.75 | 0.75 |
| 10 | 0.79 | 0.68 | 0.63 | 0.70 | 0.62 | 0.86 | 0.61 | 0.65 | 0.64 | 1.00 | 0.77 | 0.71 |
| 11 | 0.64 | 0.75 | 0.72 | 0.77 | 0.72 | 0.77 | 0.75 | 0.70 | 0.75 | 0.77 | 1.00 | 0.75 |
| 12 | 0.69 | 0.90 | 0.69 | 0.85 | 0.66 | 0.68 | 0.76 | 0.64 | 0.75 | 0.71 | 0.75 | 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