| Project Name | V134A |
| Project Name | V134A |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 186.8 | 180.8 | 161.9 | 152.9 | 137.7 | 134.5 | 132.0 | 127.6 | 127.4 | 107.8 | 104.3 | 101.3 |
| Cluster size | 225 | 181 | 189 | 169 | 160 | 189 | 191 | 130 | 168 | 136 | 137 | 125 |
| Average cluster RMSD | 1.2 | 1.0 | 1.2 | 1.1 | 1.2 | 1.4 | 1.4 | 1.0 | 1.3 | 1.3 | 1.3 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.71 | 4.76 | 4.34 | 3.59 | 4.80 | 2.88 | 4.13 | 4.35 | 3.63 | 4.96 | 5.06 | 5.05 |
| GDT_TS | 0.47 | 0.47 | 0.52 | 0.67 | 0.49 | 0.69 | 0.62 | 0.52 | 0.54 | 0.47 | 0.48 | 0.47 |
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 | 1.61 | 1.39 | 4.31 | 1.98 | 3.32 | 2.65 | 1.44 | 2.14 | 1.67 | 1.44 | 2.07 |
| 2 | 1.61 | 0.00 | 2.40 | 4.54 | 1.81 | 3.55 | 3.31 | 1.75 | 2.67 | 1.16 | 1.59 | 0.99 |
| 3 | 1.39 | 2.40 | 0.00 | 4.09 | 2.69 | 2.90 | 2.34 | 2.07 | 1.91 | 2.19 | 2.36 | 2.73 |
| 4 | 4.31 | 4.54 | 4.09 | 0.00 | 3.86 | 2.20 | 2.29 | 3.30 | 3.29 | 4.56 | 4.28 | 5.01 |
| 5 | 1.98 | 1.81 | 2.69 | 3.86 | 0.00 | 3.27 | 2.92 | 1.54 | 2.90 | 2.04 | 1.20 | 2.08 |
| 6 | 3.32 | 3.55 | 2.90 | 2.20 | 3.27 | 0.00 | 1.82 | 2.64 | 2.05 | 3.61 | 3.62 | 4.02 |
| 7 | 2.65 | 3.31 | 2.34 | 2.29 | 2.92 | 1.82 | 0.00 | 2.02 | 2.23 | 3.21 | 2.95 | 3.78 |
| 8 | 1.44 | 1.75 | 2.07 | 3.30 | 1.54 | 2.64 | 2.02 | 0.00 | 1.99 | 2.11 | 1.39 | 2.30 |
| 9 | 2.14 | 2.67 | 1.91 | 3.29 | 2.90 | 2.05 | 2.23 | 1.99 | 0.00 | 2.88 | 2.98 | 3.16 |
| 10 | 1.67 | 1.16 | 2.19 | 4.56 | 2.04 | 3.61 | 3.21 | 2.11 | 2.88 | 0.00 | 1.82 | 1.37 |
| 11 | 1.44 | 1.59 | 2.36 | 4.28 | 1.20 | 3.62 | 2.95 | 1.39 | 2.98 | 1.82 | 0.00 | 1.97 |
| 12 | 2.07 | 0.99 | 2.73 | 5.01 | 2.08 | 4.02 | 3.78 | 2.30 | 3.16 | 1.37 | 1.97 | 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 | 0.87 | 0.86 | 0.68 | 0.80 | 0.61 | 0.83 | 0.85 | 0.80 | 0.85 | 0.86 | 0.85 |
| 2 | 0.87 | 1.00 | 0.78 | 0.65 | 0.80 | 0.65 | 0.82 | 0.85 | 0.77 | 0.92 | 0.82 | 0.94 |
| 3 | 0.86 | 0.78 | 1.00 | 0.62 | 0.68 | 0.70 | 0.74 | 0.75 | 0.79 | 0.76 | 0.72 | 0.76 |
| 4 | 0.68 | 0.65 | 0.62 | 1.00 | 0.72 | 0.80 | 0.78 | 0.73 | 0.65 | 0.62 | 0.68 | 0.64 |
| 5 | 0.80 | 0.80 | 0.68 | 0.72 | 1.00 | 0.61 | 0.75 | 0.83 | 0.68 | 0.77 | 0.88 | 0.76 |
| 6 | 0.61 | 0.65 | 0.70 | 0.80 | 0.61 | 1.00 | 0.84 | 0.68 | 0.82 | 0.59 | 0.54 | 0.61 |
| 7 | 0.83 | 0.82 | 0.74 | 0.78 | 0.75 | 0.84 | 1.00 | 0.88 | 0.79 | 0.74 | 0.75 | 0.77 |
| 8 | 0.85 | 0.85 | 0.75 | 0.73 | 0.83 | 0.68 | 0.88 | 1.00 | 0.78 | 0.80 | 0.89 | 0.80 |
| 9 | 0.80 | 0.77 | 0.79 | 0.65 | 0.68 | 0.82 | 0.79 | 0.78 | 1.00 | 0.72 | 0.63 | 0.73 |
| 10 | 0.85 | 0.92 | 0.76 | 0.62 | 0.77 | 0.59 | 0.74 | 0.80 | 0.72 | 1.00 | 0.80 | 0.90 |
| 11 | 0.86 | 0.82 | 0.72 | 0.68 | 0.88 | 0.54 | 0.75 | 0.89 | 0.63 | 0.80 | 1.00 | 0.80 |
| 12 | 0.85 | 0.94 | 0.76 | 0.64 | 0.76 | 0.61 | 0.77 | 0.80 | 0.73 | 0.90 | 0.80 | 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