| 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 | 4.60 | 5.70 | 4.98 | 4.97 | 5.00 | 5.53 | 5.88 | 4.29 | 5.04 | 5.03 | 5.45 |
| GDT_TS | 0.48 | 0.55 | 0.47 | 0.56 | 0.56 | 0.56 | 0.43 | 0.51 | 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 | 4.60 | 6.61 | 4.87 | 3.88 | 4.57 | 1.78 | 2.79 | 2.10 | 4.26 | 4.45 | 2.41 |
| 2 | 4.60 | 0.00 | 3.77 | 1.19 | 2.40 | 1.57 | 4.97 | 4.37 | 3.03 | 2.02 | 2.09 | 5.42 |
| 3 | 6.61 | 3.77 | 0.00 | 3.47 | 3.54 | 3.07 | 7.36 | 6.63 | 5.24 | 3.67 | 4.35 | 7.37 |
| 4 | 4.87 | 1.19 | 3.47 | 0.00 | 2.31 | 1.55 | 5.12 | 4.49 | 3.40 | 2.06 | 2.27 | 5.80 |
| 5 | 3.88 | 2.40 | 3.54 | 2.31 | 0.00 | 1.44 | 4.52 | 4.07 | 2.39 | 1.89 | 2.69 | 4.80 |
| 6 | 4.57 | 1.57 | 3.07 | 1.55 | 1.44 | 0.00 | 5.10 | 4.48 | 3.04 | 1.67 | 2.39 | 5.44 |
| 7 | 1.78 | 4.97 | 7.36 | 5.12 | 4.52 | 5.10 | 0.00 | 2.40 | 2.69 | 4.80 | 4.82 | 2.87 |
| 8 | 2.79 | 4.37 | 6.63 | 4.49 | 4.07 | 4.48 | 2.40 | 0.00 | 2.61 | 4.28 | 4.39 | 3.32 |
| 9 | 2.10 | 3.03 | 5.24 | 3.40 | 2.39 | 3.04 | 2.69 | 2.61 | 0.00 | 2.90 | 3.12 | 2.96 |
| 10 | 4.26 | 2.02 | 3.67 | 2.06 | 1.89 | 1.67 | 4.80 | 4.28 | 2.90 | 0.00 | 1.70 | 4.96 |
| 11 | 4.45 | 2.09 | 4.35 | 2.27 | 2.69 | 2.39 | 4.82 | 4.39 | 3.12 | 1.70 | 0.00 | 4.75 |
| 12 | 2.41 | 5.42 | 7.37 | 5.80 | 4.80 | 5.44 | 2.87 | 3.32 | 2.96 | 4.96 | 4.75 | 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 | 0.63 | 0.61 | 0.61 | 0.60 | 0.59 | 0.81 | 0.71 | 0.81 | 0.63 | 0.59 | 0.83 |
| 2 | 0.63 | 1.00 | 0.74 | 0.89 | 0.73 | 0.84 | 0.60 | 0.53 | 0.72 | 0.82 | 0.90 | 0.59 |
| 3 | 0.61 | 0.74 | 1.00 | 0.68 | 0.71 | 0.74 | 0.59 | 0.52 | 0.66 | 0.78 | 0.66 | 0.60 |
| 4 | 0.61 | 0.89 | 0.68 | 1.00 | 0.78 | 0.83 | 0.61 | 0.50 | 0.61 | 0.84 | 0.88 | 0.54 |
| 5 | 0.60 | 0.73 | 0.71 | 0.78 | 1.00 | 0.86 | 0.60 | 0.54 | 0.70 | 0.86 | 0.78 | 0.57 |
| 6 | 0.59 | 0.84 | 0.74 | 0.83 | 0.86 | 1.00 | 0.58 | 0.51 | 0.65 | 0.92 | 0.86 | 0.54 |
| 7 | 0.81 | 0.60 | 0.59 | 0.61 | 0.60 | 0.58 | 1.00 | 0.75 | 0.72 | 0.64 | 0.56 | 0.76 |
| 8 | 0.71 | 0.53 | 0.52 | 0.50 | 0.54 | 0.51 | 0.75 | 1.00 | 0.74 | 0.51 | 0.50 | 0.77 |
| 9 | 0.81 | 0.72 | 0.66 | 0.61 | 0.70 | 0.65 | 0.72 | 0.74 | 1.00 | 0.68 | 0.66 | 0.82 |
| 10 | 0.63 | 0.82 | 0.78 | 0.84 | 0.86 | 0.92 | 0.64 | 0.51 | 0.68 | 1.00 | 0.85 | 0.56 |
| 11 | 0.59 | 0.90 | 0.66 | 0.88 | 0.78 | 0.86 | 0.56 | 0.50 | 0.66 | 0.85 | 1.00 | 0.57 |
| 12 | 0.83 | 0.59 | 0.60 | 0.54 | 0.57 | 0.54 | 0.76 | 0.77 | 0.82 | 0.56 | 0.57 | 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