| Project Name | CHEM361-G13M103 |
| Project Name | CHEM361-G13M103 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 212.3 | 143.5 | 132.8 | 100.3 | 95.2 | 92.2 | 89.1 | 87.5 | 83.9 | 77.6 | 58.4 | 55.6 |
| Cluster size | 358 | 215 | 192 | 180 | 187 | 108 | 118 | 159 | 123 | 147 | 118 | 95 |
| Average cluster RMSD | 1.7 | 1.5 | 1.4 | 1.8 | 2.0 | 1.2 | 1.3 | 1.8 | 1.5 | 1.9 | 2.0 | 1.7 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.56 | 4.51 | 4.58 | 3.84 | 4.82 | 6.03 | 4.95 | 4.42 | 5.04 | 4.12 | 4.39 | 4.58 |
| GDT_TS | 0.60 | 0.61 | 0.54 | 0.51 | 0.56 | 0.45 | 0.52 | 0.55 | 0.54 | 0.59 | 0.57 | 0.43 |
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 | 2.58 | 2.22 | 1.14 | 2.59 | 3.61 | 2.83 | 2.52 | 3.00 | 1.85 | 2.50 | 2.63 |
| 2 | 2.58 | 0.00 | 2.14 | 2.46 | 2.34 | 3.01 | 2.31 | 1.94 | 2.07 | 3.19 | 2.84 | 3.47 |
| 3 | 2.22 | 2.14 | 0.00 | 1.97 | 2.15 | 1.99 | 1.30 | 2.38 | 2.27 | 2.90 | 3.02 | 3.72 |
| 4 | 1.14 | 2.46 | 1.97 | 0.00 | 2.37 | 3.20 | 2.78 | 2.35 | 3.02 | 1.87 | 2.65 | 2.73 |
| 5 | 2.59 | 2.34 | 2.15 | 2.37 | 0.00 | 2.74 | 2.31 | 1.82 | 2.70 | 2.41 | 2.03 | 3.73 |
| 6 | 3.61 | 3.01 | 1.99 | 3.20 | 2.74 | 0.00 | 1.96 | 3.14 | 2.35 | 3.72 | 3.62 | 4.81 |
| 7 | 2.83 | 2.31 | 1.30 | 2.78 | 2.31 | 1.96 | 0.00 | 2.58 | 2.22 | 3.32 | 3.04 | 4.21 |
| 8 | 2.52 | 1.94 | 2.38 | 2.35 | 1.82 | 3.14 | 2.58 | 0.00 | 2.65 | 2.70 | 2.16 | 3.36 |
| 9 | 3.00 | 2.07 | 2.27 | 3.02 | 2.70 | 2.35 | 2.22 | 2.65 | 0.00 | 3.16 | 2.85 | 4.45 |
| 10 | 1.85 | 3.19 | 2.90 | 1.87 | 2.41 | 3.72 | 3.32 | 2.70 | 3.16 | 0.00 | 2.09 | 3.39 |
| 11 | 2.50 | 2.84 | 3.02 | 2.65 | 2.03 | 3.62 | 3.04 | 2.16 | 2.85 | 2.09 | 0.00 | 3.80 |
| 12 | 2.63 | 3.47 | 3.72 | 2.73 | 3.73 | 4.81 | 4.21 | 3.36 | 4.45 | 3.39 | 3.80 | 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 | 0.77 | 0.82 | 0.91 | 0.77 | 0.69 | 0.77 | 0.69 | 0.68 | 0.92 | 0.80 | 0.71 |
| 2 | 0.77 | 1.00 | 0.76 | 0.73 | 0.83 | 0.65 | 0.72 | 0.79 | 0.79 | 0.74 | 0.76 | 0.61 |
| 3 | 0.82 | 0.76 | 1.00 | 0.79 | 0.80 | 0.77 | 0.90 | 0.72 | 0.78 | 0.78 | 0.76 | 0.59 |
| 4 | 0.91 | 0.73 | 0.79 | 1.00 | 0.73 | 0.68 | 0.72 | 0.72 | 0.66 | 0.89 | 0.78 | 0.71 |
| 5 | 0.77 | 0.83 | 0.80 | 0.73 | 1.00 | 0.70 | 0.77 | 0.85 | 0.73 | 0.75 | 0.87 | 0.59 |
| 6 | 0.69 | 0.65 | 0.77 | 0.68 | 0.70 | 1.00 | 0.78 | 0.65 | 0.74 | 0.65 | 0.65 | 0.52 |
| 7 | 0.77 | 0.72 | 0.90 | 0.72 | 0.77 | 0.78 | 1.00 | 0.69 | 0.75 | 0.73 | 0.74 | 0.56 |
| 8 | 0.69 | 0.79 | 0.72 | 0.72 | 0.85 | 0.65 | 0.69 | 1.00 | 0.70 | 0.73 | 0.86 | 0.62 |
| 9 | 0.68 | 0.79 | 0.78 | 0.66 | 0.73 | 0.74 | 0.75 | 0.70 | 1.00 | 0.68 | 0.70 | 0.52 |
| 10 | 0.92 | 0.74 | 0.78 | 0.89 | 0.75 | 0.65 | 0.73 | 0.73 | 0.68 | 1.00 | 0.80 | 0.68 |
| 11 | 0.80 | 0.76 | 0.76 | 0.78 | 0.87 | 0.65 | 0.74 | 0.86 | 0.70 | 0.80 | 1.00 | 0.59 |
| 12 | 0.71 | 0.61 | 0.59 | 0.71 | 0.59 | 0.52 | 0.56 | 0.62 | 0.52 | 0.68 | 0.59 | 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