| Project Name | Biochem |
| Project Name | Biochem |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 160.6 | 123.5 | 87.6 | 77.0 | 60.9 | 60.2 | 60.1 | 59.3 | 57.7 | 46.6 | 37.0 | 21.3 |
| Cluster size | 284 | 244 | 220 | 196 | 169 | 153 | 139 | 160 | 152 | 105 | 101 | 77 |
| Average cluster RMSD | 1.8 | 2.0 | 2.5 | 2.5 | 2.8 | 2.5 | 2.3 | 2.7 | 2.6 | 2.3 | 2.7 | 3.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.99 | 8.85 | 8.59 | 6.88 | 6.74 | 7.27 | 6.56 | 7.36 | 8.02 | 9.88 | 6.72 | 8.54 |
| GDT_TS | 0.38 | 0.38 | 0.37 | 0.47 | 0.45 | 0.37 | 0.43 | 0.46 | 0.42 | 0.36 | 0.55 | 0.42 |
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 | 2.08 | 1.98 | 4.21 | 3.76 | 1.93 | 4.02 | 4.14 | 4.45 | 3.49 | 5.43 | 4.20 |
| 2 | 2.08 | 0.00 | 2.54 | 5.32 | 4.58 | 2.79 | 4.83 | 5.22 | 5.23 | 2.97 | 6.28 | 4.97 |
| 3 | 1.98 | 2.54 | 0.00 | 5.02 | 4.14 | 3.04 | 4.97 | 4.43 | 4.76 | 2.93 | 5.32 | 4.16 |
| 4 | 4.21 | 5.32 | 5.02 | 0.00 | 4.78 | 4.41 | 2.47 | 2.26 | 3.08 | 6.66 | 5.67 | 4.40 |
| 5 | 3.76 | 4.58 | 4.14 | 4.78 | 0.00 | 3.51 | 4.66 | 4.68 | 4.78 | 5.01 | 3.03 | 4.60 |
| 6 | 1.93 | 2.79 | 3.04 | 4.41 | 3.51 | 0.00 | 3.71 | 4.61 | 4.82 | 4.24 | 5.36 | 4.68 |
| 7 | 4.02 | 4.83 | 4.97 | 2.47 | 4.66 | 3.71 | 0.00 | 3.62 | 3.80 | 6.59 | 6.07 | 5.19 |
| 8 | 4.14 | 5.22 | 4.43 | 2.26 | 4.68 | 4.61 | 3.62 | 0.00 | 2.24 | 5.83 | 4.93 | 2.99 |
| 9 | 4.45 | 5.23 | 4.76 | 3.08 | 4.78 | 4.82 | 3.80 | 2.24 | 0.00 | 5.78 | 5.28 | 3.08 |
| 10 | 3.49 | 2.97 | 2.93 | 6.66 | 5.01 | 4.24 | 6.59 | 5.83 | 5.78 | 0.00 | 5.95 | 4.48 |
| 11 | 5.43 | 6.28 | 5.32 | 5.67 | 3.03 | 5.36 | 6.07 | 4.93 | 5.28 | 5.95 | 0.00 | 4.80 |
| 12 | 4.20 | 4.97 | 4.16 | 4.40 | 4.60 | 4.68 | 5.19 | 2.99 | 3.08 | 4.48 | 4.80 | 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 | 0.84 | 0.59 | 0.57 | 0.87 | 0.65 | 0.63 | 0.63 | 0.75 | 0.47 | 0.75 |
| 2 | 0.73 | 1.00 | 0.71 | 0.54 | 0.57 | 0.71 | 0.57 | 0.54 | 0.55 | 0.82 | 0.49 | 0.62 |
| 3 | 0.84 | 0.71 | 1.00 | 0.57 | 0.53 | 0.77 | 0.65 | 0.60 | 0.62 | 0.72 | 0.47 | 0.69 |
| 4 | 0.59 | 0.54 | 0.57 | 1.00 | 0.66 | 0.59 | 0.79 | 0.92 | 0.78 | 0.50 | 0.57 | 0.79 |
| 5 | 0.57 | 0.57 | 0.53 | 0.66 | 1.00 | 0.60 | 0.64 | 0.66 | 0.70 | 0.51 | 0.78 | 0.67 |
| 6 | 0.87 | 0.71 | 0.77 | 0.59 | 0.60 | 1.00 | 0.66 | 0.62 | 0.63 | 0.77 | 0.52 | 0.76 |
| 7 | 0.65 | 0.57 | 0.65 | 0.79 | 0.64 | 0.66 | 1.00 | 0.82 | 0.85 | 0.55 | 0.53 | 0.73 |
| 8 | 0.63 | 0.54 | 0.60 | 0.92 | 0.66 | 0.62 | 0.82 | 1.00 | 0.80 | 0.50 | 0.56 | 0.76 |
| 9 | 0.63 | 0.55 | 0.62 | 0.78 | 0.70 | 0.63 | 0.85 | 0.80 | 1.00 | 0.53 | 0.57 | 0.74 |
| 10 | 0.75 | 0.82 | 0.72 | 0.50 | 0.51 | 0.77 | 0.55 | 0.50 | 0.53 | 1.00 | 0.49 | 0.58 |
| 11 | 0.47 | 0.49 | 0.47 | 0.57 | 0.78 | 0.52 | 0.53 | 0.56 | 0.57 | 0.49 | 1.00 | 0.57 |
| 12 | 0.75 | 0.62 | 0.69 | 0.79 | 0.67 | 0.76 | 0.73 | 0.76 | 0.74 | 0.58 | 0.57 | 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