| Project Name | S50G |
| Project Name | S50G |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 170.9 | 135.4 | 129.4 | 123.2 | 85.2 | 78.9 | 75.1 | 69.1 | 66.9 | 43.8 | 43.3 | 35.5 |
| Cluster size | 349 | 258 | 202 | 243 | 149 | 172 | 114 | 147 | 134 | 65 | 70 | 97 |
| Average cluster RMSD | 2.0 | 1.9 | 1.6 | 2.0 | 1.7 | 2.2 | 1.5 | 2.1 | 2.0 | 1.5 | 1.6 | 2.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.05 | 5.88 | 3.42 | 5.27 | 5.69 | 6.42 | 6.33 | 4.96 | 6.38 | 7.18 | 6.06 | 7.07 |
| GDT_TS | 0.50 | 0.56 | 0.61 | 0.63 | 0.57 | 0.58 | 0.47 | 0.63 | 0.61 | 0.43 | 0.48 | 0.50 |
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 | 1.07 | 5.59 | 1.48 | 3.78 | 2.61 | 2.68 | 3.56 | 3.31 | 3.38 | 2.83 | 2.56 |
| 2 | 1.07 | 0.00 | 5.68 | 1.27 | 3.72 | 2.10 | 2.54 | 3.62 | 2.61 | 3.87 | 3.28 | 2.39 |
| 3 | 5.59 | 5.68 | 0.00 | 5.30 | 4.94 | 5.92 | 5.52 | 4.86 | 6.06 | 5.77 | 5.09 | 6.61 |
| 4 | 1.48 | 1.27 | 5.30 | 0.00 | 4.01 | 2.78 | 2.93 | 3.64 | 3.10 | 4.07 | 3.37 | 3.11 |
| 5 | 3.78 | 3.72 | 4.94 | 4.01 | 0.00 | 3.74 | 3.93 | 2.18 | 4.36 | 5.27 | 4.56 | 4.42 |
| 6 | 2.61 | 2.10 | 5.92 | 2.78 | 3.74 | 0.00 | 2.31 | 4.31 | 2.12 | 4.47 | 4.07 | 1.84 |
| 7 | 2.68 | 2.54 | 5.52 | 2.93 | 3.93 | 2.31 | 0.00 | 4.43 | 3.38 | 3.21 | 2.56 | 2.34 |
| 8 | 3.56 | 3.62 | 4.86 | 3.64 | 2.18 | 4.31 | 4.43 | 0.00 | 5.09 | 5.67 | 4.76 | 4.98 |
| 9 | 3.31 | 2.61 | 6.06 | 3.10 | 4.36 | 2.12 | 3.38 | 5.09 | 0.00 | 5.16 | 4.86 | 2.54 |
| 10 | 3.38 | 3.87 | 5.77 | 4.07 | 5.27 | 4.47 | 3.21 | 5.67 | 5.16 | 0.00 | 1.65 | 3.79 |
| 11 | 2.83 | 3.28 | 5.09 | 3.37 | 4.56 | 4.07 | 2.56 | 4.76 | 4.86 | 1.65 | 0.00 | 3.69 |
| 12 | 2.56 | 2.39 | 6.61 | 3.11 | 4.42 | 1.84 | 2.34 | 4.98 | 2.54 | 3.79 | 3.69 | 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 | 0.95 | 0.65 | 0.89 | 0.62 | 0.86 | 0.77 | 0.67 | 0.77 | 0.68 | 0.72 | 0.81 |
| 2 | 0.95 | 1.00 | 0.65 | 0.94 | 0.62 | 0.89 | 0.76 | 0.66 | 0.81 | 0.68 | 0.70 | 0.78 |
| 3 | 0.65 | 0.65 | 1.00 | 0.65 | 0.85 | 0.62 | 0.61 | 0.83 | 0.62 | 0.54 | 0.61 | 0.59 |
| 4 | 0.89 | 0.94 | 0.65 | 1.00 | 0.65 | 0.85 | 0.73 | 0.67 | 0.86 | 0.67 | 0.67 | 0.77 |
| 5 | 0.62 | 0.62 | 0.85 | 0.65 | 1.00 | 0.59 | 0.61 | 0.84 | 0.62 | 0.57 | 0.63 | 0.57 |
| 6 | 0.86 | 0.89 | 0.62 | 0.85 | 0.59 | 1.00 | 0.81 | 0.63 | 0.79 | 0.71 | 0.72 | 0.84 |
| 7 | 0.77 | 0.76 | 0.61 | 0.73 | 0.61 | 0.81 | 1.00 | 0.63 | 0.64 | 0.75 | 0.88 | 0.82 |
| 8 | 0.67 | 0.66 | 0.83 | 0.67 | 0.84 | 0.63 | 0.63 | 1.00 | 0.58 | 0.51 | 0.61 | 0.58 |
| 9 | 0.77 | 0.81 | 0.62 | 0.86 | 0.62 | 0.79 | 0.64 | 0.58 | 1.00 | 0.63 | 0.57 | 0.72 |
| 10 | 0.68 | 0.68 | 0.54 | 0.67 | 0.57 | 0.71 | 0.75 | 0.51 | 0.63 | 1.00 | 0.80 | 0.73 |
| 11 | 0.72 | 0.70 | 0.61 | 0.67 | 0.63 | 0.72 | 0.88 | 0.61 | 0.57 | 0.80 | 1.00 | 0.77 |
| 12 | 0.81 | 0.78 | 0.59 | 0.77 | 0.57 | 0.84 | 0.82 | 0.58 | 0.72 | 0.73 | 0.77 | 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