| Project Name | Ala_val |
| Project Name | Ala_val |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 175.6 | 172.3 | 158.5 | 145.1 | 141.4 | 137.7 | 114.4 | 85.4 | 68.5 | 62.5 | 40.1 | 38.6 |
| Cluster size | 215 | 214 | 198 | 254 | 217 | 252 | 143 | 115 | 130 | 131 | 78 | 53 |
| Average cluster RMSD | 1.2 | 1.2 | 1.2 | 1.8 | 1.5 | 1.8 | 1.2 | 1.3 | 1.9 | 2.1 | 1.9 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.90 | 4.75 | 5.66 | 5.17 | 5.00 | 4.92 | 5.54 | 5.83 | 4.30 | 5.05 | 4.98 | 5.46 |
| GDT_TS | 0.48 | 0.54 | 0.47 | 0.54 | 0.56 | 0.55 | 0.43 | 0.50 | 0.57 | 0.59 | 0.57 | 0.53 |
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 | 4.68 | 6.60 | 5.06 | 3.92 | 4.42 | 1.72 | 2.60 | 1.99 | 4.22 | 4.33 | 2.49 |
| 2 | 4.68 | 0.00 | 3.68 | 1.23 | 2.50 | 1.45 | 5.05 | 4.59 | 3.33 | 2.15 | 2.16 | 5.68 |
| 3 | 6.60 | 3.68 | 0.00 | 3.45 | 3.45 | 3.24 | 7.32 | 6.72 | 5.37 | 3.64 | 4.42 | 7.40 |
| 4 | 5.06 | 1.23 | 3.45 | 0.00 | 2.55 | 1.68 | 5.30 | 4.84 | 3.81 | 2.33 | 2.45 | 6.16 |
| 5 | 3.92 | 2.50 | 3.45 | 2.55 | 0.00 | 1.45 | 4.56 | 4.11 | 2.55 | 1.83 | 2.69 | 4.91 |
| 6 | 4.42 | 1.45 | 3.24 | 1.68 | 1.45 | 0.00 | 4.93 | 4.46 | 3.04 | 1.68 | 2.30 | 5.41 |
| 7 | 1.72 | 5.05 | 7.32 | 5.30 | 4.56 | 4.93 | 0.00 | 2.30 | 2.63 | 4.78 | 4.72 | 2.95 |
| 8 | 2.60 | 4.59 | 6.72 | 4.84 | 4.11 | 4.46 | 2.30 | 0.00 | 2.54 | 4.34 | 4.43 | 3.21 |
| 9 | 1.99 | 3.33 | 5.37 | 3.81 | 2.55 | 3.04 | 2.63 | 2.54 | 0.00 | 3.00 | 3.15 | 2.93 |
| 10 | 4.22 | 2.15 | 3.64 | 2.33 | 1.83 | 1.68 | 4.78 | 4.34 | 3.00 | 0.00 | 1.77 | 5.05 |
| 11 | 4.33 | 2.16 | 4.42 | 2.45 | 2.69 | 2.30 | 4.72 | 4.43 | 3.15 | 1.77 | 0.00 | 4.78 |
| 12 | 2.49 | 5.68 | 7.40 | 6.16 | 4.91 | 5.41 | 2.95 | 3.21 | 2.93 | 5.05 | 4.78 | 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 | 0.61 | 0.61 | 0.58 | 0.60 | 0.82 | 0.73 | 0.82 | 0.63 | 0.59 | 0.82 |
| 2 | 0.64 | 1.00 | 0.75 | 0.89 | 0.73 | 0.85 | 0.61 | 0.52 | 0.72 | 0.82 | 0.89 | 0.59 |
| 3 | 0.61 | 0.75 | 1.00 | 0.68 | 0.71 | 0.73 | 0.59 | 0.51 | 0.65 | 0.77 | 0.65 | 0.59 |
| 4 | 0.61 | 0.89 | 0.68 | 1.00 | 0.76 | 0.82 | 0.61 | 0.49 | 0.60 | 0.82 | 0.84 | 0.53 |
| 5 | 0.58 | 0.73 | 0.71 | 0.76 | 1.00 | 0.86 | 0.60 | 0.54 | 0.70 | 0.87 | 0.79 | 0.56 |
| 6 | 0.60 | 0.85 | 0.73 | 0.82 | 0.86 | 1.00 | 0.60 | 0.51 | 0.66 | 0.90 | 0.87 | 0.54 |
| 7 | 0.82 | 0.61 | 0.59 | 0.61 | 0.60 | 0.60 | 1.00 | 0.76 | 0.73 | 0.64 | 0.55 | 0.75 |
| 8 | 0.73 | 0.52 | 0.51 | 0.49 | 0.54 | 0.51 | 0.76 | 1.00 | 0.74 | 0.51 | 0.50 | 0.78 |
| 9 | 0.82 | 0.72 | 0.65 | 0.60 | 0.70 | 0.66 | 0.73 | 0.74 | 1.00 | 0.68 | 0.66 | 0.82 |
| 10 | 0.63 | 0.82 | 0.77 | 0.82 | 0.87 | 0.90 | 0.64 | 0.51 | 0.68 | 1.00 | 0.83 | 0.56 |
| 11 | 0.59 | 0.89 | 0.65 | 0.84 | 0.79 | 0.87 | 0.55 | 0.50 | 0.66 | 0.83 | 1.00 | 0.56 |
| 12 | 0.82 | 0.59 | 0.59 | 0.53 | 0.56 | 0.54 | 0.75 | 0.78 | 0.82 | 0.56 | 0.56 | 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