| Project Name | L137M |
| Project Name | L137M |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 122.7 | 91.2 | 87.6 | 70.2 | 56.6 | 56.6 | 53.8 | 53.6 | 38.6 | 38.0 | 27.1 | 23.3 |
| Cluster size | 326 | 190 | 248 | 204 | 174 | 142 | 173 | 144 | 141 | 93 | 91 | 74 |
| Average cluster RMSD | 2.7 | 2.1 | 2.8 | 2.9 | 3.1 | 2.5 | 3.2 | 2.7 | 3.6 | 2.4 | 3.4 | 3.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.30 | 3.39 | 3.78 | 4.03 | 5.23 | 3.67 | 5.32 | 4.08 | 4.31 | 4.38 | 4.30 | 5.46 |
| GDT_TS | 0.67 | 0.66 | 0.61 | 0.62 | 0.64 | 0.66 | 0.57 | 0.59 | 0.72 | 0.66 | 0.72 | 0.68 |
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 | 2.30 | 1.54 | 1.98 | 3.40 | 2.52 | 3.97 | 1.99 | 3.32 | 3.67 | 3.66 | 4.39 |
| 2 | 2.30 | 0.00 | 2.31 | 2.27 | 3.32 | 0.82 | 4.50 | 1.55 | 4.54 | 2.70 | 4.43 | 5.15 |
| 3 | 1.54 | 2.31 | 0.00 | 1.91 | 3.85 | 2.66 | 3.15 | 2.01 | 3.52 | 3.87 | 3.67 | 4.34 |
| 4 | 1.98 | 2.27 | 1.91 | 0.00 | 3.67 | 2.36 | 4.16 | 2.23 | 3.79 | 3.43 | 3.46 | 4.47 |
| 5 | 3.40 | 3.32 | 3.85 | 3.67 | 0.00 | 3.05 | 4.23 | 3.57 | 4.05 | 2.64 | 4.70 | 4.13 |
| 6 | 2.52 | 0.82 | 2.66 | 2.36 | 3.05 | 0.00 | 4.66 | 1.72 | 4.64 | 2.46 | 4.58 | 5.18 |
| 7 | 3.97 | 4.50 | 3.15 | 4.16 | 4.23 | 4.66 | 0.00 | 3.94 | 4.99 | 5.24 | 4.70 | 5.39 |
| 8 | 1.99 | 1.55 | 2.01 | 2.23 | 3.57 | 1.72 | 3.94 | 0.00 | 4.18 | 3.37 | 4.41 | 5.13 |
| 9 | 3.32 | 4.54 | 3.52 | 3.79 | 4.05 | 4.64 | 4.99 | 4.18 | 0.00 | 4.63 | 2.62 | 2.10 |
| 10 | 3.67 | 2.70 | 3.87 | 3.43 | 2.64 | 2.46 | 5.24 | 3.37 | 4.63 | 0.00 | 4.90 | 4.79 |
| 11 | 3.66 | 4.43 | 3.67 | 3.46 | 4.70 | 4.58 | 4.70 | 4.41 | 2.62 | 4.90 | 0.00 | 3.47 |
| 12 | 4.39 | 5.15 | 4.34 | 4.47 | 4.13 | 5.18 | 5.39 | 5.13 | 2.10 | 4.79 | 3.47 | 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 | 0.80 | 0.86 | 0.85 | 0.80 | 0.79 | 0.62 | 0.81 | 0.71 | 0.76 | 0.72 | 0.67 |
| 2 | 0.80 | 1.00 | 0.82 | 0.77 | 0.76 | 0.97 | 0.69 | 0.87 | 0.72 | 0.85 | 0.72 | 0.70 |
| 3 | 0.86 | 0.82 | 1.00 | 0.86 | 0.75 | 0.82 | 0.71 | 0.87 | 0.67 | 0.80 | 0.67 | 0.70 |
| 4 | 0.85 | 0.77 | 0.86 | 1.00 | 0.76 | 0.78 | 0.63 | 0.82 | 0.68 | 0.74 | 0.69 | 0.69 |
| 5 | 0.80 | 0.76 | 0.75 | 0.76 | 1.00 | 0.77 | 0.61 | 0.75 | 0.65 | 0.74 | 0.67 | 0.63 |
| 6 | 0.79 | 0.97 | 0.82 | 0.78 | 0.77 | 1.00 | 0.66 | 0.89 | 0.69 | 0.86 | 0.71 | 0.65 |
| 7 | 0.62 | 0.69 | 0.71 | 0.63 | 0.61 | 0.66 | 1.00 | 0.70 | 0.52 | 0.59 | 0.50 | 0.57 |
| 8 | 0.81 | 0.87 | 0.87 | 0.82 | 0.75 | 0.89 | 0.70 | 1.00 | 0.70 | 0.80 | 0.71 | 0.67 |
| 9 | 0.71 | 0.72 | 0.67 | 0.68 | 0.65 | 0.69 | 0.52 | 0.70 | 1.00 | 0.68 | 0.91 | 0.84 |
| 10 | 0.76 | 0.85 | 0.80 | 0.74 | 0.74 | 0.86 | 0.59 | 0.80 | 0.68 | 1.00 | 0.70 | 0.69 |
| 11 | 0.72 | 0.72 | 0.67 | 0.69 | 0.67 | 0.71 | 0.50 | 0.71 | 0.91 | 0.70 | 1.00 | 0.80 |
| 12 | 0.67 | 0.70 | 0.70 | 0.69 | 0.63 | 0.65 | 0.57 | 0.67 | 0.84 | 0.69 | 0.80 | 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