| Project Name | val_ala_end |
| Project Name | val_ala_end |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 186.8 | 133.6 | 124.5 | 124.4 | 119.4 | 116.6 | 108.0 | 74.7 | 62.8 | 62.4 | 46.2 | 24.8 |
| Cluster size | 334 | 230 | 211 | 226 | 185 | 147 | 196 | 143 | 106 | 82 | 87 | 53 |
| Average cluster RMSD | 1.8 | 1.7 | 1.7 | 1.8 | 1.5 | 1.3 | 1.8 | 1.9 | 1.7 | 1.3 | 1.9 | 2.1 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.95 | 4.38 | 5.68 | 4.86 | 4.28 | 6.31 | 4.68 | 5.03 | 6.19 | 4.52 | 5.18 | 5.62 |
| GDT_TS | 0.54 | 0.55 | 0.46 | 0.51 | 0.54 | 0.46 | 0.56 | 0.54 | 0.44 | 0.58 | 0.50 | 0.54 |
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 | 2.38 | 2.89 | 1.95 | 2.16 | 2.58 | 3.08 | 1.85 | 2.73 | 3.25 | 2.68 | 2.93 |
| 2 | 2.38 | 0.00 | 2.53 | 2.27 | 1.87 | 3.20 | 2.78 | 2.15 | 3.11 | 2.95 | 2.50 | 3.04 |
| 3 | 2.89 | 2.53 | 0.00 | 2.35 | 2.57 | 2.42 | 3.83 | 2.30 | 1.77 | 4.16 | 2.38 | 2.64 |
| 4 | 1.95 | 2.27 | 2.35 | 0.00 | 1.72 | 2.43 | 3.17 | 1.46 | 2.46 | 3.16 | 2.30 | 2.80 |
| 5 | 2.16 | 1.87 | 2.57 | 1.72 | 0.00 | 2.86 | 3.40 | 1.85 | 2.98 | 3.48 | 2.38 | 3.04 |
| 6 | 2.58 | 3.20 | 2.42 | 2.43 | 2.86 | 0.00 | 3.96 | 2.14 | 1.82 | 4.33 | 2.42 | 2.61 |
| 7 | 3.08 | 2.78 | 3.83 | 3.17 | 3.40 | 3.96 | 0.00 | 2.99 | 3.94 | 2.73 | 3.56 | 3.94 |
| 8 | 1.85 | 2.15 | 2.30 | 1.46 | 1.85 | 2.14 | 2.99 | 0.00 | 2.15 | 2.96 | 2.17 | 2.41 |
| 9 | 2.73 | 3.11 | 1.77 | 2.46 | 2.98 | 1.82 | 3.94 | 2.15 | 0.00 | 3.91 | 2.41 | 2.35 |
| 10 | 3.25 | 2.95 | 4.16 | 3.16 | 3.48 | 4.33 | 2.73 | 2.96 | 3.91 | 0.00 | 3.84 | 3.96 |
| 11 | 2.68 | 2.50 | 2.38 | 2.30 | 2.38 | 2.42 | 3.56 | 2.17 | 2.41 | 3.84 | 0.00 | 1.79 |
| 12 | 2.93 | 3.04 | 2.64 | 2.80 | 3.04 | 2.61 | 3.94 | 2.41 | 2.35 | 3.96 | 1.79 | 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 | 0.73 | 0.71 | 0.91 | 0.83 | 0.75 | 0.68 | 0.93 | 0.72 | 0.62 | 0.83 | 0.83 |
| 2 | 0.73 | 1.00 | 0.73 | 0.75 | 0.81 | 0.68 | 0.71 | 0.76 | 0.65 | 0.73 | 0.77 | 0.74 |
| 3 | 0.71 | 0.73 | 1.00 | 0.73 | 0.73 | 0.77 | 0.59 | 0.72 | 0.84 | 0.57 | 0.76 | 0.73 |
| 4 | 0.91 | 0.75 | 0.73 | 1.00 | 0.83 | 0.81 | 0.71 | 0.92 | 0.76 | 0.66 | 0.86 | 0.83 |
| 5 | 0.83 | 0.81 | 0.73 | 0.83 | 1.00 | 0.74 | 0.67 | 0.85 | 0.69 | 0.64 | 0.82 | 0.80 |
| 6 | 0.75 | 0.68 | 0.77 | 0.81 | 0.74 | 1.00 | 0.59 | 0.78 | 0.83 | 0.54 | 0.81 | 0.80 |
| 7 | 0.68 | 0.71 | 0.59 | 0.71 | 0.67 | 0.59 | 1.00 | 0.71 | 0.64 | 0.84 | 0.68 | 0.66 |
| 8 | 0.93 | 0.76 | 0.72 | 0.92 | 0.85 | 0.78 | 0.71 | 1.00 | 0.76 | 0.65 | 0.86 | 0.87 |
| 9 | 0.72 | 0.65 | 0.84 | 0.76 | 0.69 | 0.83 | 0.64 | 0.76 | 1.00 | 0.56 | 0.78 | 0.76 |
| 10 | 0.62 | 0.73 | 0.57 | 0.66 | 0.64 | 0.54 | 0.84 | 0.65 | 0.56 | 1.00 | 0.65 | 0.61 |
| 11 | 0.83 | 0.77 | 0.76 | 0.86 | 0.82 | 0.81 | 0.68 | 0.86 | 0.78 | 0.65 | 1.00 | 0.83 |
| 12 | 0.83 | 0.74 | 0.73 | 0.83 | 0.80 | 0.80 | 0.66 | 0.87 | 0.76 | 0.61 | 0.83 | 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