| Project Name | 9c |
| Project Name | 9c |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 179.9 | 175.1 | 155.5 | 149.1 | 122.3 | 111.6 | 109.7 | 101.5 | 69.7 | 39.0 | 38.0 | 27.6 |
| Cluster size | 259 | 317 | 192 | 184 | 196 | 173 | 141 | 208 | 126 | 88 | 76 | 40 |
| Average cluster RMSD | 1.4 | 1.8 | 1.2 | 1.2 | 1.6 | 1.6 | 1.3 | 2.0 | 1.8 | 2.3 | 2.0 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.88 | 4.14 | 2.18 | 3.70 | 4.01 | 3.95 | 1.99 | 3.77 | 3.85 | 2.94 | 4.42 | 3.02 |
| GDT_TS | 0.63 | 0.58 | 0.78 | 0.58 | 0.57 | 0.63 | 0.78 | 0.63 | 0.57 | 0.69 | 0.57 | 0.72 |
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 | 1.45 | 2.89 | 2.64 | 2.54 | 1.00 | 2.81 | 1.65 | 1.82 | 2.60 | 2.57 | 3.51 |
| 2 | 1.45 | 0.00 | 3.03 | 2.80 | 2.72 | 1.59 | 2.93 | 1.63 | 1.78 | 2.63 | 2.64 | 3.54 |
| 3 | 2.89 | 3.03 | 0.00 | 3.52 | 3.74 | 2.88 | 1.34 | 3.04 | 3.28 | 2.40 | 3.91 | 1.97 |
| 4 | 2.64 | 2.80 | 3.52 | 0.00 | 2.16 | 2.83 | 2.89 | 2.07 | 1.99 | 2.72 | 2.91 | 3.87 |
| 5 | 2.54 | 2.72 | 3.74 | 2.16 | 0.00 | 2.99 | 3.01 | 1.54 | 1.31 | 2.98 | 2.20 | 4.21 |
| 6 | 1.00 | 1.59 | 2.88 | 2.83 | 2.99 | 0.00 | 2.93 | 2.00 | 2.16 | 2.55 | 2.69 | 3.45 |
| 7 | 2.81 | 2.93 | 1.34 | 2.89 | 3.01 | 2.93 | 0.00 | 2.64 | 2.76 | 2.09 | 3.47 | 2.54 |
| 8 | 1.65 | 1.63 | 3.04 | 2.07 | 1.54 | 2.00 | 2.64 | 0.00 | 0.86 | 2.44 | 1.87 | 3.38 |
| 9 | 1.82 | 1.78 | 3.28 | 1.99 | 1.31 | 2.16 | 2.76 | 0.86 | 0.00 | 2.60 | 2.13 | 3.83 |
| 10 | 2.60 | 2.63 | 2.40 | 2.72 | 2.98 | 2.55 | 2.09 | 2.44 | 2.60 | 0.00 | 2.57 | 2.59 |
| 11 | 2.57 | 2.64 | 3.91 | 2.91 | 2.20 | 2.69 | 3.47 | 1.87 | 2.13 | 2.57 | 0.00 | 3.72 |
| 12 | 3.51 | 3.54 | 1.97 | 3.87 | 4.21 | 3.45 | 2.54 | 3.38 | 3.83 | 2.59 | 3.72 | 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 | 0.86 | 0.67 | 0.69 | 0.76 | 0.91 | 0.74 | 0.82 | 0.82 | 0.80 | 0.77 | 0.61 |
| 2 | 0.86 | 1.00 | 0.64 | 0.67 | 0.74 | 0.85 | 0.73 | 0.83 | 0.80 | 0.80 | 0.76 | 0.58 |
| 3 | 0.67 | 0.64 | 1.00 | 0.69 | 0.67 | 0.70 | 0.89 | 0.69 | 0.65 | 0.75 | 0.64 | 0.89 |
| 4 | 0.69 | 0.67 | 0.69 | 1.00 | 0.75 | 0.69 | 0.73 | 0.77 | 0.78 | 0.79 | 0.72 | 0.71 |
| 5 | 0.76 | 0.74 | 0.67 | 0.75 | 1.00 | 0.74 | 0.70 | 0.83 | 0.87 | 0.73 | 0.89 | 0.66 |
| 6 | 0.91 | 0.85 | 0.70 | 0.69 | 0.74 | 1.00 | 0.73 | 0.81 | 0.79 | 0.84 | 0.75 | 0.64 |
| 7 | 0.74 | 0.73 | 0.89 | 0.73 | 0.70 | 0.73 | 1.00 | 0.73 | 0.69 | 0.82 | 0.70 | 0.82 |
| 8 | 0.82 | 0.83 | 0.69 | 0.77 | 0.83 | 0.81 | 0.73 | 1.00 | 0.97 | 0.80 | 0.86 | 0.67 |
| 9 | 0.82 | 0.80 | 0.65 | 0.78 | 0.87 | 0.79 | 0.69 | 0.97 | 1.00 | 0.77 | 0.84 | 0.62 |
| 10 | 0.80 | 0.80 | 0.75 | 0.79 | 0.73 | 0.84 | 0.82 | 0.80 | 0.77 | 1.00 | 0.79 | 0.72 |
| 11 | 0.77 | 0.76 | 0.64 | 0.72 | 0.89 | 0.75 | 0.70 | 0.86 | 0.84 | 0.79 | 1.00 | 0.63 |
| 12 | 0.61 | 0.58 | 0.89 | 0.71 | 0.66 | 0.64 | 0.82 | 0.67 | 0.62 | 0.72 | 0.63 | 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