| Project Name | ml_5643 |
| Project Name | ml_5643 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 194.2 | 172.0 | 126.9 | 124.8 | 116.2 | 88.6 | 71.7 | 65.7 | 65.2 | 64.9 | 47.1 | 37.7 |
| Cluster size | 327 | 292 | 222 | 210 | 201 | 142 | 120 | 122 | 100 | 101 | 87 | 76 |
| Average cluster RMSD | 1.7 | 1.7 | 1.7 | 1.7 | 1.7 | 1.6 | 1.7 | 1.9 | 1.5 | 1.6 | 1.8 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.61 | 3.66 | 3.25 | 3.56 | 3.22 | 3.60 | 3.53 | 3.44 | 3.62 | 3.45 | 3.40 | 3.75 |
| GDT_TS | 0.58 | 0.58 | 0.59 | 0.60 | 0.59 | 0.56 | 0.60 | 0.58 | 0.56 | 0.56 | 0.61 | 0.58 |
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 | 2.28 | 3.43 | 2.13 | 2.22 | 2.67 | 4.36 | 2.60 | 3.18 | 3.66 | 2.40 | 2.64 |
| 2 | 2.28 | 0.00 | 3.25 | 2.12 | 2.20 | 2.69 | 4.10 | 2.64 | 2.78 | 3.38 | 2.30 | 2.40 |
| 3 | 3.43 | 3.25 | 0.00 | 2.93 | 2.70 | 2.73 | 2.74 | 3.07 | 2.60 | 2.57 | 2.71 | 3.03 |
| 4 | 2.13 | 2.12 | 2.93 | 0.00 | 2.17 | 2.36 | 3.71 | 2.38 | 2.55 | 3.27 | 2.03 | 2.39 |
| 5 | 2.22 | 2.20 | 2.70 | 2.17 | 0.00 | 2.65 | 3.64 | 2.76 | 2.66 | 3.10 | 2.11 | 2.73 |
| 6 | 2.67 | 2.69 | 2.73 | 2.36 | 2.65 | 0.00 | 3.65 | 2.17 | 2.70 | 3.23 | 2.49 | 2.27 |
| 7 | 4.36 | 4.10 | 2.74 | 3.71 | 3.64 | 3.65 | 0.00 | 4.02 | 3.10 | 3.04 | 3.41 | 3.74 |
| 8 | 2.60 | 2.64 | 3.07 | 2.38 | 2.76 | 2.17 | 4.02 | 0.00 | 3.05 | 3.35 | 2.62 | 2.15 |
| 9 | 3.18 | 2.78 | 2.60 | 2.55 | 2.66 | 2.70 | 3.10 | 3.05 | 0.00 | 2.74 | 2.29 | 2.76 |
| 10 | 3.66 | 3.38 | 2.57 | 3.27 | 3.10 | 3.23 | 3.04 | 3.35 | 2.74 | 0.00 | 2.82 | 3.34 |
| 11 | 2.40 | 2.30 | 2.71 | 2.03 | 2.11 | 2.49 | 3.41 | 2.62 | 2.29 | 2.82 | 0.00 | 2.23 |
| 12 | 2.64 | 2.40 | 3.03 | 2.39 | 2.73 | 2.27 | 3.74 | 2.15 | 2.76 | 3.34 | 2.23 | 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 | 0.71 | 0.63 | 0.72 | 0.73 | 0.70 | 0.59 | 0.71 | 0.64 | 0.61 | 0.75 | 0.69 |
| 2 | 0.71 | 1.00 | 0.63 | 0.76 | 0.70 | 0.67 | 0.58 | 0.66 | 0.68 | 0.61 | 0.73 | 0.72 |
| 3 | 0.63 | 0.63 | 1.00 | 0.69 | 0.66 | 0.65 | 0.65 | 0.62 | 0.69 | 0.71 | 0.67 | 0.65 |
| 4 | 0.72 | 0.76 | 0.69 | 1.00 | 0.72 | 0.71 | 0.62 | 0.70 | 0.69 | 0.65 | 0.75 | 0.71 |
| 5 | 0.73 | 0.70 | 0.66 | 0.72 | 1.00 | 0.67 | 0.57 | 0.66 | 0.67 | 0.61 | 0.74 | 0.63 |
| 6 | 0.70 | 0.67 | 0.65 | 0.71 | 0.67 | 1.00 | 0.60 | 0.77 | 0.65 | 0.60 | 0.73 | 0.74 |
| 7 | 0.59 | 0.58 | 0.65 | 0.62 | 0.57 | 0.60 | 1.00 | 0.59 | 0.64 | 0.64 | 0.61 | 0.61 |
| 8 | 0.71 | 0.66 | 0.62 | 0.70 | 0.66 | 0.77 | 0.59 | 1.00 | 0.63 | 0.60 | 0.69 | 0.79 |
| 9 | 0.64 | 0.68 | 0.69 | 0.69 | 0.67 | 0.65 | 0.64 | 0.63 | 1.00 | 0.69 | 0.72 | 0.68 |
| 10 | 0.61 | 0.61 | 0.71 | 0.65 | 0.61 | 0.60 | 0.64 | 0.60 | 0.69 | 1.00 | 0.66 | 0.63 |
| 11 | 0.75 | 0.73 | 0.67 | 0.75 | 0.74 | 0.73 | 0.61 | 0.69 | 0.72 | 0.66 | 1.00 | 0.71 |
| 12 | 0.69 | 0.72 | 0.65 | 0.71 | 0.63 | 0.74 | 0.61 | 0.79 | 0.68 | 0.63 | 0.71 | 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