| Project Name | NIRANJANA |
| Project Name | NIRANJANA |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 253.5 | 180.8 | 146.2 | 139.5 | 136.1 | 133.3 | 110.6 | 99.6 | 97.2 | 80.8 | 78.8 | 77.1 |
| Cluster size | 335 | 230 | 191 | 186 | 167 | 179 | 149 | 129 | 119 | 105 | 118 | 92 |
| Average cluster RMSD | 1.3 | 1.3 | 1.3 | 1.3 | 1.2 | 1.3 | 1.3 | 1.3 | 1.2 | 1.3 | 1.5 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.02 | 2.86 | 3.26 | 2.71 | 2.99 | 2.91 | 2.70 | 2.66 | 3.22 | 2.86 | 3.14 | 3.51 |
| GDT_TS | 0.64 | 0.66 | 0.65 | 0.67 | 0.63 | 0.65 | 0.65 | 0.69 | 0.65 | 0.68 | 0.65 | 0.62 |
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 | 2.26 | 2.36 | 2.00 | 2.01 | 2.32 | 2.64 | 2.28 | 2.44 | 2.49 | 2.56 | 2.92 |
| 2 | 2.26 | 0.00 | 2.35 | 1.90 | 2.29 | 2.39 | 2.40 | 2.23 | 2.62 | 2.33 | 2.35 | 2.70 |
| 3 | 2.36 | 2.35 | 0.00 | 2.35 | 2.03 | 2.02 | 2.92 | 2.70 | 1.85 | 2.70 | 2.19 | 2.04 |
| 4 | 2.00 | 1.90 | 2.35 | 0.00 | 2.06 | 2.05 | 2.26 | 2.04 | 2.30 | 2.35 | 2.42 | 2.55 |
| 5 | 2.01 | 2.29 | 2.03 | 2.06 | 0.00 | 2.17 | 2.53 | 2.23 | 2.15 | 2.19 | 2.31 | 2.46 |
| 6 | 2.32 | 2.39 | 2.02 | 2.05 | 2.17 | 0.00 | 2.52 | 2.23 | 2.00 | 2.57 | 1.98 | 1.93 |
| 7 | 2.64 | 2.40 | 2.92 | 2.26 | 2.53 | 2.52 | 0.00 | 2.23 | 2.84 | 2.01 | 2.51 | 2.97 |
| 8 | 2.28 | 2.23 | 2.70 | 2.04 | 2.23 | 2.23 | 2.23 | 0.00 | 2.52 | 2.13 | 2.38 | 2.72 |
| 9 | 2.44 | 2.62 | 1.85 | 2.30 | 2.15 | 2.00 | 2.84 | 2.52 | 0.00 | 2.68 | 2.50 | 1.88 |
| 10 | 2.49 | 2.33 | 2.70 | 2.35 | 2.19 | 2.57 | 2.01 | 2.13 | 2.68 | 0.00 | 2.37 | 2.97 |
| 11 | 2.56 | 2.35 | 2.19 | 2.42 | 2.31 | 1.98 | 2.51 | 2.38 | 2.50 | 2.37 | 0.00 | 2.27 |
| 12 | 2.92 | 2.70 | 2.04 | 2.55 | 2.46 | 1.93 | 2.97 | 2.72 | 1.88 | 2.97 | 2.27 | 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 | 0.69 | 0.75 | 0.74 | 0.71 | 0.69 | 0.74 | 0.68 | 0.70 | 0.71 | 0.65 |
| 2 | 0.73 | 1.00 | 0.74 | 0.80 | 0.73 | 0.72 | 0.70 | 0.73 | 0.72 | 0.71 | 0.71 | 0.70 |
| 3 | 0.69 | 0.74 | 1.00 | 0.72 | 0.74 | 0.79 | 0.66 | 0.68 | 0.80 | 0.67 | 0.76 | 0.82 |
| 4 | 0.75 | 0.80 | 0.72 | 1.00 | 0.80 | 0.75 | 0.73 | 0.79 | 0.74 | 0.74 | 0.73 | 0.69 |
| 5 | 0.74 | 0.73 | 0.74 | 0.80 | 1.00 | 0.76 | 0.69 | 0.76 | 0.77 | 0.73 | 0.76 | 0.73 |
| 6 | 0.71 | 0.72 | 0.79 | 0.75 | 0.76 | 1.00 | 0.68 | 0.72 | 0.78 | 0.70 | 0.85 | 0.79 |
| 7 | 0.69 | 0.70 | 0.66 | 0.73 | 0.69 | 0.68 | 1.00 | 0.72 | 0.69 | 0.77 | 0.67 | 0.65 |
| 8 | 0.74 | 0.73 | 0.68 | 0.79 | 0.76 | 0.72 | 0.72 | 1.00 | 0.71 | 0.77 | 0.72 | 0.66 |
| 9 | 0.68 | 0.72 | 0.80 | 0.74 | 0.77 | 0.78 | 0.69 | 0.71 | 1.00 | 0.69 | 0.75 | 0.77 |
| 10 | 0.70 | 0.71 | 0.67 | 0.74 | 0.73 | 0.70 | 0.77 | 0.77 | 0.69 | 1.00 | 0.69 | 0.65 |
| 11 | 0.71 | 0.71 | 0.76 | 0.73 | 0.76 | 0.85 | 0.67 | 0.72 | 0.75 | 0.69 | 1.00 | 0.76 |
| 12 | 0.65 | 0.70 | 0.82 | 0.69 | 0.73 | 0.79 | 0.65 | 0.66 | 0.77 | 0.65 | 0.76 | 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