| Project Name | 9aminimized |
| Project Name | 9aminimized |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 238.5 | 180.6 | 145.4 | 143.9 | 135.0 | 83.2 | 82.8 | 73.9 | 73.3 | 58.2 | 52.6 | 52.4 |
| Cluster size | 375 | 348 | 169 | 234 | 167 | 144 | 113 | 76 | 86 | 132 | 90 | 66 |
| Average cluster RMSD | 1.6 | 1.9 | 1.2 | 1.6 | 1.2 | 1.7 | 1.4 | 1.0 | 1.2 | 2.3 | 1.7 | 1.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.97 | 4.54 | 6.30 | 6.58 | 5.46 | 4.61 | 6.82 | 7.56 | 7.41 | 4.18 | 6.94 | 5.63 |
| GDT_TS | 0.56 | 0.57 | 0.44 | 0.47 | 0.48 | 0.59 | 0.45 | 0.44 | 0.47 | 0.52 | 0.45 | 0.48 |
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 | 1.66 | 4.17 | 4.50 | 2.79 | 2.10 | 4.73 | 6.27 | 5.76 | 1.63 | 4.93 | 3.44 |
| 2 | 1.66 | 0.00 | 3.98 | 4.16 | 2.39 | 1.47 | 4.49 | 6.37 | 5.66 | 2.08 | 4.68 | 3.02 |
| 3 | 4.17 | 3.98 | 0.00 | 1.71 | 2.16 | 4.21 | 1.04 | 3.55 | 2.63 | 5.08 | 1.82 | 2.80 |
| 4 | 4.50 | 4.16 | 1.71 | 0.00 | 2.28 | 4.30 | 1.87 | 4.04 | 3.22 | 5.31 | 1.15 | 2.77 |
| 5 | 2.79 | 2.39 | 2.16 | 2.28 | 0.00 | 2.57 | 2.80 | 5.21 | 4.34 | 3.74 | 2.70 | 1.95 |
| 6 | 2.10 | 1.47 | 4.21 | 4.30 | 2.57 | 0.00 | 4.69 | 6.47 | 5.80 | 2.29 | 4.77 | 2.78 |
| 7 | 4.73 | 4.49 | 1.04 | 1.87 | 2.80 | 4.69 | 0.00 | 3.15 | 2.33 | 5.60 | 1.89 | 3.27 |
| 8 | 6.27 | 6.37 | 3.55 | 4.04 | 5.21 | 6.47 | 3.15 | 0.00 | 1.76 | 6.88 | 3.87 | 5.16 |
| 9 | 5.76 | 5.66 | 2.63 | 3.22 | 4.34 | 5.80 | 2.33 | 1.76 | 0.00 | 6.48 | 3.12 | 4.53 |
| 10 | 1.63 | 2.08 | 5.08 | 5.31 | 3.74 | 2.29 | 5.60 | 6.88 | 6.48 | 0.00 | 5.76 | 3.90 |
| 11 | 4.93 | 4.68 | 1.82 | 1.15 | 2.70 | 4.77 | 1.89 | 3.87 | 3.12 | 5.76 | 0.00 | 3.12 |
| 12 | 3.44 | 3.02 | 2.80 | 2.77 | 1.95 | 2.78 | 3.27 | 5.16 | 4.53 | 3.90 | 3.12 | 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 | 0.82 | 0.61 | 0.55 | 0.71 | 0.81 | 0.62 | 0.56 | 0.58 | 0.92 | 0.57 | 0.63 |
| 2 | 0.82 | 1.00 | 0.60 | 0.57 | 0.74 | 0.90 | 0.61 | 0.53 | 0.57 | 0.82 | 0.58 | 0.69 |
| 3 | 0.61 | 0.60 | 1.00 | 0.79 | 0.79 | 0.62 | 0.93 | 0.59 | 0.70 | 0.59 | 0.80 | 0.74 |
| 4 | 0.55 | 0.57 | 0.79 | 1.00 | 0.77 | 0.58 | 0.79 | 0.64 | 0.68 | 0.54 | 0.89 | 0.76 |
| 5 | 0.71 | 0.74 | 0.79 | 0.77 | 1.00 | 0.76 | 0.75 | 0.56 | 0.59 | 0.65 | 0.75 | 0.93 |
| 6 | 0.81 | 0.90 | 0.62 | 0.58 | 0.76 | 1.00 | 0.63 | 0.55 | 0.55 | 0.77 | 0.58 | 0.70 |
| 7 | 0.62 | 0.61 | 0.93 | 0.79 | 0.75 | 0.63 | 1.00 | 0.68 | 0.75 | 0.61 | 0.78 | 0.69 |
| 8 | 0.56 | 0.53 | 0.59 | 0.64 | 0.56 | 0.55 | 0.68 | 1.00 | 0.82 | 0.54 | 0.66 | 0.53 |
| 9 | 0.58 | 0.57 | 0.70 | 0.68 | 0.59 | 0.55 | 0.75 | 0.82 | 1.00 | 0.57 | 0.71 | 0.57 |
| 10 | 0.92 | 0.82 | 0.59 | 0.54 | 0.65 | 0.77 | 0.61 | 0.54 | 0.57 | 1.00 | 0.56 | 0.63 |
| 11 | 0.57 | 0.58 | 0.80 | 0.89 | 0.75 | 0.58 | 0.78 | 0.66 | 0.71 | 0.56 | 1.00 | 0.72 |
| 12 | 0.63 | 0.69 | 0.74 | 0.76 | 0.93 | 0.70 | 0.69 | 0.53 | 0.57 | 0.63 | 0.72 | 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