| Project Name | subash |
| Project Name | subash |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 172.0 | 157.7 | 128.7 | 121.1 | 119.3 | 89.6 | 84.3 | 83.3 | 80.7 | 66.9 | 66.5 | 62.8 |
| Cluster size | 298 | 280 | 185 | 209 | 177 | 129 | 133 | 143 | 128 | 102 | 115 | 101 |
| Average cluster RMSD | 1.7 | 1.8 | 1.4 | 1.7 | 1.5 | 1.4 | 1.6 | 1.7 | 1.6 | 1.5 | 1.7 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.91 | 5.78 | 7.95 | 7.76 | 6.25 | 6.04 | 6.48 | 6.59 | 6.93 | 6.57 | 5.74 | 6.00 |
| GDT_TS | 0.47 | 0.52 | 0.45 | 0.45 | 0.51 | 0.50 | 0.42 | 0.52 | 0.47 | 0.54 | 0.50 | 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 | 5.25 | 1.20 | 2.13 | 5.27 | 5.35 | 5.54 | 5.21 | 4.16 | 5.62 | 5.39 | 5.50 |
| 2 | 5.25 | 0.00 | 5.43 | 4.94 | 2.92 | 3.21 | 2.74 | 2.86 | 3.71 | 3.65 | 3.86 | 2.82 |
| 3 | 1.20 | 5.43 | 0.00 | 2.34 | 5.47 | 5.64 | 5.71 | 5.44 | 4.39 | 5.83 | 5.56 | 5.61 |
| 4 | 2.13 | 4.94 | 2.34 | 0.00 | 4.88 | 5.00 | 5.19 | 4.71 | 4.16 | 5.19 | 5.14 | 5.25 |
| 5 | 5.27 | 2.92 | 5.47 | 4.88 | 0.00 | 2.66 | 4.19 | 2.28 | 4.06 | 2.86 | 4.41 | 4.30 |
| 6 | 5.35 | 3.21 | 5.64 | 5.00 | 2.66 | 0.00 | 4.01 | 2.97 | 3.80 | 2.91 | 3.76 | 4.29 |
| 7 | 5.54 | 2.74 | 5.71 | 5.19 | 4.19 | 4.01 | 0.00 | 3.92 | 4.41 | 4.65 | 4.28 | 2.34 |
| 8 | 5.21 | 2.86 | 5.44 | 4.71 | 2.28 | 2.97 | 3.92 | 0.00 | 3.98 | 3.20 | 4.34 | 4.28 |
| 9 | 4.16 | 3.71 | 4.39 | 4.16 | 4.06 | 3.80 | 4.41 | 3.98 | 0.00 | 4.79 | 3.00 | 4.85 |
| 10 | 5.62 | 3.65 | 5.83 | 5.19 | 2.86 | 2.91 | 4.65 | 3.20 | 4.79 | 0.00 | 5.20 | 4.73 |
| 11 | 5.39 | 3.86 | 5.56 | 5.14 | 4.41 | 3.76 | 4.28 | 4.34 | 3.00 | 5.20 | 0.00 | 4.55 |
| 12 | 5.50 | 2.82 | 5.61 | 5.25 | 4.30 | 4.29 | 2.34 | 4.28 | 4.85 | 4.73 | 4.55 | 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 | 0.69 | 0.90 | 0.77 | 0.61 | 0.62 | 0.64 | 0.65 | 0.73 | 0.61 | 0.66 | 0.67 |
| 2 | 0.69 | 1.00 | 0.68 | 0.69 | 0.67 | 0.64 | 0.68 | 0.69 | 0.68 | 0.62 | 0.67 | 0.76 |
| 3 | 0.90 | 0.68 | 1.00 | 0.76 | 0.62 | 0.60 | 0.65 | 0.64 | 0.74 | 0.60 | 0.66 | 0.66 |
| 4 | 0.77 | 0.69 | 0.76 | 1.00 | 0.62 | 0.60 | 0.64 | 0.70 | 0.71 | 0.58 | 0.69 | 0.67 |
| 5 | 0.61 | 0.67 | 0.62 | 0.62 | 1.00 | 0.68 | 0.55 | 0.73 | 0.60 | 0.64 | 0.62 | 0.61 |
| 6 | 0.62 | 0.64 | 0.60 | 0.60 | 0.68 | 1.00 | 0.58 | 0.66 | 0.59 | 0.70 | 0.61 | 0.60 |
| 7 | 0.64 | 0.68 | 0.65 | 0.64 | 0.55 | 0.58 | 1.00 | 0.62 | 0.65 | 0.54 | 0.64 | 0.72 |
| 8 | 0.65 | 0.69 | 0.64 | 0.70 | 0.73 | 0.66 | 0.62 | 1.00 | 0.64 | 0.64 | 0.66 | 0.64 |
| 9 | 0.73 | 0.68 | 0.74 | 0.71 | 0.60 | 0.59 | 0.65 | 0.64 | 1.00 | 0.57 | 0.74 | 0.67 |
| 10 | 0.61 | 0.62 | 0.60 | 0.58 | 0.64 | 0.70 | 0.54 | 0.64 | 0.57 | 1.00 | 0.60 | 0.59 |
| 11 | 0.66 | 0.67 | 0.66 | 0.69 | 0.62 | 0.61 | 0.64 | 0.66 | 0.74 | 0.60 | 1.00 | 0.67 |
| 12 | 0.67 | 0.76 | 0.66 | 0.67 | 0.61 | 0.60 | 0.72 | 0.64 | 0.67 | 0.59 | 0.67 | 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