| Project Name | Jess_S50G |
| Project Name | Jess_S50G |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 109.8 | 101.2 | 89.9 | 72.9 | 72.1 | 68.6 | 52.2 | 51.7 | 41.5 | 40.0 | 25.7 | 22.3 |
| Cluster size | 305 | 196 | 234 | 217 | 203 | 138 | 171 | 166 | 132 | 96 | 69 | 73 |
| Average cluster RMSD | 2.8 | 1.9 | 2.6 | 3.0 | 2.8 | 2.0 | 3.3 | 3.2 | 3.2 | 2.4 | 2.7 | 3.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.48 | 5.16 | 4.32 | 4.83 | 3.81 | 5.24 | 4.96 | 4.90 | 4.88 | 5.85 | 4.76 | 5.52 |
| GDT_TS | 0.64 | 0.58 | 0.70 | 0.62 | 0.67 | 0.60 | 0.60 | 0.59 | 0.66 | 0.58 | 0.57 | 0.64 |
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 | 4.11 | 2.41 | 3.23 | 3.01 | 5.07 | 3.30 | 3.04 | 3.17 | 4.91 | 3.82 | 5.29 |
| 2 | 4.11 | 0.00 | 4.12 | 2.82 | 2.99 | 1.58 | 3.47 | 3.02 | 5.22 | 3.42 | 2.57 | 5.97 |
| 3 | 2.41 | 4.12 | 0.00 | 3.06 | 2.81 | 3.98 | 3.21 | 2.88 | 3.18 | 4.01 | 4.11 | 4.50 |
| 4 | 3.23 | 2.82 | 3.06 | 0.00 | 2.14 | 3.01 | 1.54 | 1.58 | 3.64 | 3.25 | 3.10 | 5.44 |
| 5 | 3.01 | 2.99 | 2.81 | 2.14 | 0.00 | 3.25 | 2.73 | 2.10 | 4.37 | 3.96 | 2.60 | 5.40 |
| 6 | 5.07 | 1.58 | 3.98 | 3.01 | 3.25 | 0.00 | 3.57 | 3.36 | 5.66 | 3.17 | 3.36 | 5.71 |
| 7 | 3.30 | 3.47 | 3.21 | 1.54 | 2.73 | 3.57 | 0.00 | 2.01 | 3.09 | 2.84 | 4.06 | 4.80 |
| 8 | 3.04 | 3.02 | 2.88 | 1.58 | 2.10 | 3.36 | 2.01 | 0.00 | 3.48 | 3.29 | 3.12 | 5.45 |
| 9 | 3.17 | 5.22 | 3.18 | 3.64 | 4.37 | 5.66 | 3.09 | 3.48 | 0.00 | 4.28 | 5.56 | 3.37 |
| 10 | 4.91 | 3.42 | 4.01 | 3.25 | 3.96 | 3.17 | 2.84 | 3.29 | 4.28 | 0.00 | 4.75 | 4.66 |
| 11 | 3.82 | 2.57 | 4.11 | 3.10 | 2.60 | 3.36 | 4.06 | 3.12 | 5.56 | 4.75 | 0.00 | 5.91 |
| 12 | 5.29 | 5.97 | 4.50 | 5.44 | 5.40 | 5.71 | 4.80 | 5.45 | 3.37 | 4.66 | 5.91 | 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 | 0.76 | 0.71 | 0.71 | 0.69 | 0.70 | 0.77 | 0.85 | 0.70 | 0.75 | 0.63 |
| 2 | 0.73 | 1.00 | 0.65 | 0.72 | 0.68 | 0.88 | 0.69 | 0.73 | 0.66 | 0.84 | 0.80 | 0.63 |
| 3 | 0.76 | 0.65 | 1.00 | 0.68 | 0.73 | 0.66 | 0.69 | 0.71 | 0.75 | 0.68 | 0.71 | 0.70 |
| 4 | 0.71 | 0.72 | 0.68 | 1.00 | 0.87 | 0.70 | 0.95 | 0.94 | 0.71 | 0.74 | 0.85 | 0.69 |
| 5 | 0.71 | 0.68 | 0.73 | 0.87 | 1.00 | 0.66 | 0.89 | 0.89 | 0.70 | 0.73 | 0.77 | 0.67 |
| 6 | 0.69 | 0.88 | 0.66 | 0.70 | 0.66 | 1.00 | 0.66 | 0.69 | 0.64 | 0.83 | 0.74 | 0.66 |
| 7 | 0.70 | 0.69 | 0.69 | 0.95 | 0.89 | 0.66 | 1.00 | 0.93 | 0.72 | 0.72 | 0.80 | 0.64 |
| 8 | 0.77 | 0.73 | 0.71 | 0.94 | 0.89 | 0.69 | 0.93 | 1.00 | 0.74 | 0.77 | 0.83 | 0.68 |
| 9 | 0.85 | 0.66 | 0.75 | 0.71 | 0.70 | 0.64 | 0.72 | 0.74 | 1.00 | 0.67 | 0.69 | 0.65 |
| 10 | 0.70 | 0.84 | 0.68 | 0.74 | 0.73 | 0.83 | 0.72 | 0.77 | 0.67 | 1.00 | 0.76 | 0.64 |
| 11 | 0.75 | 0.80 | 0.71 | 0.85 | 0.77 | 0.74 | 0.80 | 0.83 | 0.69 | 0.76 | 1.00 | 0.71 |
| 12 | 0.63 | 0.63 | 0.70 | 0.69 | 0.67 | 0.66 | 0.64 | 0.68 | 0.65 | 0.64 | 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