| Project Name | 3i91 |
| Project Name | 3i91 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 156.3 | 150.0 | 131.2 | 116.2 | 105.0 | 102.8 | 78.8 | 77.9 | 74.0 | 73.5 | 72.6 | 71.6 |
| Cluster size | 242 | 246 | 224 | 177 | 175 | 181 | 135 | 125 | 124 | 116 | 138 | 117 |
| Average cluster RMSD | 1.5 | 1.6 | 1.7 | 1.5 | 1.7 | 1.8 | 1.7 | 1.6 | 1.7 | 1.6 | 1.9 | 1.6 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.79 | 3.32 | 3.13 | 3.05 | 2.61 | 2.85 | 3.60 | 3.40 | 2.68 | 2.96 | 3.61 | 3.14 |
| GDT_TS | 0.64 | 0.68 | 0.69 | 0.69 | 0.73 | 0.72 | 0.67 | 0.70 | 0.70 | 0.73 | 0.66 | 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 | 1.67 | 2.68 | 2.15 | 3.04 | 2.35 | 1.74 | 2.39 | 2.56 | 3.18 | 2.35 | 3.27 |
| 2 | 1.67 | 0.00 | 2.58 | 1.74 | 2.66 | 2.04 | 1.91 | 2.39 | 2.36 | 2.65 | 2.19 | 3.20 |
| 3 | 2.68 | 2.58 | 0.00 | 2.18 | 2.12 | 2.08 | 2.29 | 2.08 | 1.96 | 2.50 | 2.32 | 2.56 |
| 4 | 2.15 | 1.74 | 2.18 | 0.00 | 2.16 | 1.85 | 2.32 | 2.38 | 1.97 | 2.44 | 2.29 | 2.91 |
| 5 | 3.04 | 2.66 | 2.12 | 2.16 | 0.00 | 1.75 | 2.50 | 2.19 | 2.03 | 2.07 | 2.61 | 1.90 |
| 6 | 2.35 | 2.04 | 2.08 | 1.85 | 1.75 | 0.00 | 2.03 | 2.10 | 1.96 | 2.25 | 2.04 | 2.41 |
| 7 | 1.74 | 1.91 | 2.29 | 2.32 | 2.50 | 2.03 | 0.00 | 1.58 | 2.43 | 2.81 | 2.13 | 2.48 |
| 8 | 2.39 | 2.39 | 2.08 | 2.38 | 2.19 | 2.10 | 1.58 | 0.00 | 2.45 | 2.84 | 2.40 | 1.72 |
| 9 | 2.56 | 2.36 | 1.96 | 1.97 | 2.03 | 1.96 | 2.43 | 2.45 | 0.00 | 2.33 | 2.03 | 2.74 |
| 10 | 3.18 | 2.65 | 2.50 | 2.44 | 2.07 | 2.25 | 2.81 | 2.84 | 2.33 | 0.00 | 2.86 | 2.64 |
| 11 | 2.35 | 2.19 | 2.32 | 2.29 | 2.61 | 2.04 | 2.13 | 2.40 | 2.03 | 2.86 | 0.00 | 3.07 |
| 12 | 3.27 | 3.20 | 2.56 | 2.91 | 1.90 | 2.41 | 2.48 | 1.72 | 2.74 | 2.64 | 3.07 | 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 | 0.84 | 0.70 | 0.82 | 0.74 | 0.77 | 0.80 | 0.74 | 0.78 | 0.73 | 0.74 | 0.72 |
| 2 | 0.84 | 1.00 | 0.72 | 0.84 | 0.78 | 0.79 | 0.85 | 0.75 | 0.78 | 0.78 | 0.78 | 0.76 |
| 3 | 0.70 | 0.72 | 1.00 | 0.77 | 0.80 | 0.78 | 0.78 | 0.78 | 0.76 | 0.72 | 0.76 | 0.73 |
| 4 | 0.82 | 0.84 | 0.77 | 1.00 | 0.75 | 0.84 | 0.78 | 0.79 | 0.75 | 0.74 | 0.75 | 0.75 |
| 5 | 0.74 | 0.78 | 0.80 | 0.75 | 1.00 | 0.83 | 0.79 | 0.84 | 0.80 | 0.80 | 0.74 | 0.82 |
| 6 | 0.77 | 0.79 | 0.78 | 0.84 | 0.83 | 1.00 | 0.84 | 0.80 | 0.78 | 0.78 | 0.78 | 0.77 |
| 7 | 0.80 | 0.85 | 0.78 | 0.78 | 0.79 | 0.84 | 1.00 | 0.83 | 0.78 | 0.74 | 0.79 | 0.79 |
| 8 | 0.74 | 0.75 | 0.78 | 0.79 | 0.84 | 0.80 | 0.83 | 1.00 | 0.73 | 0.72 | 0.76 | 0.84 |
| 9 | 0.78 | 0.78 | 0.76 | 0.75 | 0.80 | 0.78 | 0.78 | 0.73 | 1.00 | 0.78 | 0.82 | 0.72 |
| 10 | 0.73 | 0.78 | 0.72 | 0.74 | 0.80 | 0.78 | 0.74 | 0.72 | 0.78 | 1.00 | 0.72 | 0.78 |
| 11 | 0.74 | 0.78 | 0.76 | 0.75 | 0.74 | 0.78 | 0.79 | 0.76 | 0.82 | 0.72 | 1.00 | 0.72 |
| 12 | 0.72 | 0.76 | 0.73 | 0.75 | 0.82 | 0.77 | 0.79 | 0.84 | 0.72 | 0.78 | 0.72 | 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