| Project Name | IndividualB |
| Project Name | IndividualB |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 199.0 | 185.7 | 149.0 | 117.3 | 106.9 | 104.8 | 100.9 | 98.8 | 98.7 | 86.6 | 80.9 | 24.8 |
| Cluster size | 294 | 316 | 214 | 183 | 150 | 147 | 176 | 162 | 105 | 109 | 103 | 41 |
| Average cluster RMSD | 1.5 | 1.7 | 1.4 | 1.6 | 1.4 | 1.4 | 1.7 | 1.6 | 1.1 | 1.3 | 1.3 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.87 | 3.77 | 3.48 | 3.38 | 2.90 | 2.80 | 3.47 | 3.85 | 5.04 | 4.20 | 4.03 | 4.00 |
| GDT_TS | 0.61 | 0.68 | 0.70 | 0.70 | 0.69 | 0.69 | 0.59 | 0.66 | 0.58 | 0.67 | 0.58 | 0.66 |
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 | 1.21 | 2.36 | 2.44 | 3.07 | 2.49 | 1.54 | 3.33 | 5.66 | 3.50 | 4.57 | 3.41 |
| 2 | 1.21 | 0.00 | 2.38 | 2.27 | 3.07 | 2.42 | 1.71 | 3.27 | 5.59 | 3.24 | 4.50 | 3.19 |
| 3 | 2.36 | 2.38 | 0.00 | 1.16 | 2.39 | 1.88 | 2.45 | 3.13 | 4.36 | 3.19 | 3.48 | 2.94 |
| 4 | 2.44 | 2.27 | 1.16 | 0.00 | 2.28 | 1.58 | 2.40 | 3.42 | 4.46 | 3.39 | 3.49 | 3.10 |
| 5 | 3.07 | 3.07 | 2.39 | 2.28 | 0.00 | 1.89 | 2.52 | 2.79 | 3.47 | 3.42 | 1.98 | 2.98 |
| 6 | 2.49 | 2.42 | 1.88 | 1.58 | 1.89 | 0.00 | 1.82 | 3.30 | 4.64 | 3.50 | 3.28 | 2.86 |
| 7 | 1.54 | 1.71 | 2.45 | 2.40 | 2.52 | 1.82 | 0.00 | 3.29 | 5.32 | 3.49 | 3.97 | 2.92 |
| 8 | 3.33 | 3.27 | 3.13 | 3.42 | 2.79 | 3.30 | 3.29 | 0.00 | 3.48 | 1.68 | 3.13 | 1.98 |
| 9 | 5.66 | 5.59 | 4.36 | 4.46 | 3.47 | 4.64 | 5.32 | 3.48 | 0.00 | 4.06 | 1.96 | 3.69 |
| 10 | 3.50 | 3.24 | 3.19 | 3.39 | 3.42 | 3.50 | 3.49 | 1.68 | 4.06 | 0.00 | 3.76 | 1.77 |
| 11 | 4.57 | 4.50 | 3.48 | 3.49 | 1.98 | 3.28 | 3.97 | 3.13 | 1.96 | 3.76 | 0.00 | 3.14 |
| 12 | 3.41 | 3.19 | 2.94 | 3.10 | 2.98 | 2.86 | 2.92 | 1.98 | 3.69 | 1.77 | 3.14 | 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 | 0.87 | 0.81 | 0.80 | 0.69 | 0.79 | 0.88 | 0.63 | 0.49 | 0.55 | 0.58 | 0.71 |
| 2 | 0.87 | 1.00 | 0.86 | 0.84 | 0.70 | 0.83 | 0.83 | 0.71 | 0.55 | 0.68 | 0.59 | 0.76 |
| 3 | 0.81 | 0.86 | 1.00 | 0.90 | 0.75 | 0.82 | 0.76 | 0.72 | 0.62 | 0.67 | 0.70 | 0.72 |
| 4 | 0.80 | 0.84 | 0.90 | 1.00 | 0.73 | 0.83 | 0.74 | 0.68 | 0.60 | 0.65 | 0.67 | 0.69 |
| 5 | 0.69 | 0.70 | 0.75 | 0.73 | 1.00 | 0.81 | 0.74 | 0.74 | 0.63 | 0.62 | 0.79 | 0.68 |
| 6 | 0.79 | 0.83 | 0.82 | 0.83 | 0.81 | 1.00 | 0.84 | 0.68 | 0.53 | 0.60 | 0.65 | 0.73 |
| 7 | 0.88 | 0.83 | 0.76 | 0.74 | 0.74 | 0.84 | 1.00 | 0.64 | 0.49 | 0.55 | 0.59 | 0.72 |
| 8 | 0.63 | 0.71 | 0.72 | 0.68 | 0.74 | 0.68 | 0.64 | 1.00 | 0.70 | 0.82 | 0.77 | 0.77 |
| 9 | 0.49 | 0.55 | 0.62 | 0.60 | 0.63 | 0.53 | 0.49 | 0.70 | 1.00 | 0.65 | 0.82 | 0.60 |
| 10 | 0.55 | 0.68 | 0.67 | 0.65 | 0.62 | 0.60 | 0.55 | 0.82 | 0.65 | 1.00 | 0.64 | 0.82 |
| 11 | 0.58 | 0.59 | 0.70 | 0.67 | 0.79 | 0.65 | 0.59 | 0.77 | 0.82 | 0.64 | 1.00 | 0.63 |
| 12 | 0.71 | 0.76 | 0.72 | 0.69 | 0.68 | 0.73 | 0.72 | 0.77 | 0.60 | 0.82 | 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