| Project Name | Subash |
| Project Name | Subash |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 181.3 | 148.3 | 126.3 | 122.4 | 115.8 | 110.1 | 109.3 | 104.3 | 104.1 | 89.5 | 86.0 | 43.4 |
| Cluster size | 270 | 210 | 176 | 203 | 190 | 185 | 138 | 161 | 154 | 112 | 129 | 72 |
| Average cluster RMSD | 1.5 | 1.4 | 1.4 | 1.7 | 1.6 | 1.7 | 1.3 | 1.5 | 1.5 | 1.3 | 1.5 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.05 | 6.22 | 6.59 | 5.91 | 4.99 | 7.14 | 5.95 | 6.91 | 5.53 | 6.01 | 4.71 | 5.12 |
| GDT_TS | 0.47 | 0.49 | 0.50 | 0.49 | 0.54 | 0.48 | 0.51 | 0.49 | 0.48 | 0.53 | 0.53 | 0.53 |
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 | 2.67 | 4.06 | 2.72 | 4.75 | 3.96 | 3.91 | 4.32 | 1.93 | 4.21 | 3.87 | 4.63 |
| 2 | 2.67 | 0.00 | 3.68 | 3.04 | 5.10 | 3.36 | 3.49 | 3.61 | 2.90 | 3.87 | 3.89 | 4.89 |
| 3 | 4.06 | 3.68 | 0.00 | 3.32 | 5.13 | 3.10 | 2.35 | 2.58 | 4.40 | 2.15 | 3.63 | 4.42 |
| 4 | 2.72 | 3.04 | 3.32 | 0.00 | 4.38 | 2.76 | 3.26 | 3.28 | 2.76 | 3.33 | 3.37 | 4.16 |
| 5 | 4.75 | 5.10 | 5.13 | 4.38 | 0.00 | 5.50 | 4.33 | 5.36 | 4.55 | 4.54 | 2.88 | 2.79 |
| 6 | 3.96 | 3.36 | 3.10 | 2.76 | 5.50 | 0.00 | 3.43 | 2.70 | 4.35 | 3.37 | 4.23 | 5.15 |
| 7 | 3.91 | 3.49 | 2.35 | 3.26 | 4.33 | 3.43 | 0.00 | 2.67 | 4.08 | 2.33 | 2.92 | 3.93 |
| 8 | 4.32 | 3.61 | 2.58 | 3.28 | 5.36 | 2.70 | 2.67 | 0.00 | 4.60 | 2.78 | 4.14 | 5.18 |
| 9 | 1.93 | 2.90 | 4.40 | 2.76 | 4.55 | 4.35 | 4.08 | 4.60 | 0.00 | 4.32 | 3.66 | 4.51 |
| 10 | 4.21 | 3.87 | 2.15 | 3.33 | 4.54 | 3.37 | 2.33 | 2.78 | 4.32 | 0.00 | 3.17 | 3.89 |
| 11 | 3.87 | 3.89 | 3.63 | 3.37 | 2.88 | 4.23 | 2.92 | 4.14 | 3.66 | 3.17 | 0.00 | 2.82 |
| 12 | 4.63 | 4.89 | 4.42 | 4.16 | 2.79 | 5.15 | 3.93 | 5.18 | 4.51 | 3.89 | 2.82 | 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 | 0.74 | 0.66 | 0.72 | 0.59 | 0.65 | 0.62 | 0.66 | 0.80 | 0.62 | 0.63 | 0.59 |
| 2 | 0.74 | 1.00 | 0.63 | 0.71 | 0.59 | 0.68 | 0.65 | 0.67 | 0.71 | 0.64 | 0.64 | 0.58 |
| 3 | 0.66 | 0.63 | 1.00 | 0.63 | 0.63 | 0.66 | 0.74 | 0.69 | 0.62 | 0.75 | 0.71 | 0.62 |
| 4 | 0.72 | 0.71 | 0.63 | 1.00 | 0.62 | 0.72 | 0.63 | 0.72 | 0.74 | 0.64 | 0.65 | 0.61 |
| 5 | 0.59 | 0.59 | 0.63 | 0.62 | 1.00 | 0.60 | 0.67 | 0.61 | 0.57 | 0.62 | 0.72 | 0.73 |
| 6 | 0.65 | 0.68 | 0.66 | 0.72 | 0.60 | 1.00 | 0.64 | 0.77 | 0.66 | 0.68 | 0.64 | 0.58 |
| 7 | 0.62 | 0.65 | 0.74 | 0.63 | 0.67 | 0.64 | 1.00 | 0.70 | 0.59 | 0.74 | 0.76 | 0.66 |
| 8 | 0.66 | 0.67 | 0.69 | 0.72 | 0.61 | 0.77 | 0.70 | 1.00 | 0.66 | 0.71 | 0.65 | 0.59 |
| 9 | 0.80 | 0.71 | 0.62 | 0.74 | 0.57 | 0.66 | 0.59 | 0.66 | 1.00 | 0.63 | 0.64 | 0.58 |
| 10 | 0.62 | 0.64 | 0.75 | 0.64 | 0.62 | 0.68 | 0.74 | 0.71 | 0.63 | 1.00 | 0.73 | 0.64 |
| 11 | 0.63 | 0.64 | 0.71 | 0.65 | 0.72 | 0.64 | 0.76 | 0.65 | 0.64 | 0.73 | 1.00 | 0.71 |
| 12 | 0.59 | 0.58 | 0.62 | 0.61 | 0.73 | 0.58 | 0.66 | 0.59 | 0.58 | 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