| Project Name | v2s2 |
| Project Name | v2s2 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 251.7 | 211.7 | 193.5 | 133.1 | 96.9 | 94.3 | 79.2 | 74.1 | 60.5 | 40.1 | 33.8 | 31.4 |
| Cluster size | 399 | 274 | 289 | 205 | 186 | 136 | 119 | 116 | 93 | 75 | 51 | 57 |
| Average cluster RMSD | 1.6 | 1.3 | 1.5 | 1.5 | 1.9 | 1.4 | 1.5 | 1.6 | 1.5 | 1.9 | 1.5 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 5.47 | 5.66 | 5.85 | 5.78 | 4.73 | 5.21 | 5.88 | 4.66 | 4.53 | 4.48 | 5.03 | 4.04 |
| GDT_TS | 0.50 | 0.48 | 0.50 | 0.50 | 0.50 | 0.55 | 0.48 | 0.53 | 0.53 | 0.52 | 0.50 | 0.57 |
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 | 1.82 | 3.42 | 2.30 | 6.06 | 2.33 | 3.97 | 5.16 | 5.24 | 5.17 | 6.11 | 6.85 |
| 2 | 1.82 | 0.00 | 3.36 | 2.47 | 6.17 | 2.56 | 3.83 | 5.06 | 5.43 | 5.15 | 6.09 | 7.05 |
| 3 | 3.42 | 3.36 | 0.00 | 2.79 | 6.15 | 2.88 | 2.58 | 4.62 | 5.65 | 4.60 | 5.34 | 6.95 |
| 4 | 2.30 | 2.47 | 2.79 | 0.00 | 6.22 | 2.42 | 3.46 | 5.11 | 5.42 | 5.14 | 5.84 | 6.93 |
| 5 | 6.06 | 6.17 | 6.15 | 6.22 | 0.00 | 5.99 | 5.22 | 2.88 | 3.62 | 3.76 | 2.94 | 3.98 |
| 6 | 2.33 | 2.56 | 2.88 | 2.42 | 5.99 | 0.00 | 3.67 | 5.00 | 5.04 | 4.85 | 5.76 | 6.58 |
| 7 | 3.97 | 3.83 | 2.58 | 3.46 | 5.22 | 3.67 | 0.00 | 3.78 | 5.01 | 3.79 | 4.42 | 6.50 |
| 8 | 5.16 | 5.06 | 4.62 | 5.11 | 2.88 | 5.00 | 3.78 | 0.00 | 4.04 | 2.96 | 2.75 | 4.90 |
| 9 | 5.24 | 5.43 | 5.65 | 5.42 | 3.62 | 5.04 | 5.01 | 4.04 | 0.00 | 4.10 | 4.25 | 4.26 |
| 10 | 5.17 | 5.15 | 4.60 | 5.14 | 3.76 | 4.85 | 3.79 | 2.96 | 4.10 | 0.00 | 3.41 | 5.14 |
| 11 | 6.11 | 6.09 | 5.34 | 5.84 | 2.94 | 5.76 | 4.42 | 2.75 | 4.25 | 3.41 | 0.00 | 4.37 |
| 12 | 6.85 | 7.05 | 6.95 | 6.93 | 3.98 | 6.58 | 6.50 | 4.90 | 4.26 | 5.14 | 4.37 | 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 | 0.63 | 0.74 | 0.57 | 0.75 | 0.56 | 0.56 | 0.52 | 0.53 | 0.53 | 0.55 |
| 2 | 0.77 | 1.00 | 0.66 | 0.70 | 0.51 | 0.72 | 0.58 | 0.60 | 0.51 | 0.54 | 0.53 | 0.53 |
| 3 | 0.63 | 0.66 | 1.00 | 0.68 | 0.45 | 0.66 | 0.74 | 0.56 | 0.48 | 0.55 | 0.56 | 0.51 |
| 4 | 0.74 | 0.70 | 0.68 | 1.00 | 0.54 | 0.76 | 0.63 | 0.59 | 0.53 | 0.52 | 0.55 | 0.54 |
| 5 | 0.57 | 0.51 | 0.45 | 0.54 | 1.00 | 0.50 | 0.55 | 0.68 | 0.65 | 0.63 | 0.63 | 0.57 |
| 6 | 0.75 | 0.72 | 0.66 | 0.76 | 0.50 | 1.00 | 0.59 | 0.55 | 0.53 | 0.53 | 0.53 | 0.58 |
| 7 | 0.56 | 0.58 | 0.74 | 0.63 | 0.55 | 0.59 | 1.00 | 0.66 | 0.54 | 0.64 | 0.62 | 0.51 |
| 8 | 0.56 | 0.60 | 0.56 | 0.59 | 0.68 | 0.55 | 0.66 | 1.00 | 0.60 | 0.71 | 0.69 | 0.53 |
| 9 | 0.52 | 0.51 | 0.48 | 0.53 | 0.65 | 0.53 | 0.54 | 0.60 | 1.00 | 0.60 | 0.56 | 0.58 |
| 10 | 0.53 | 0.54 | 0.55 | 0.52 | 0.63 | 0.53 | 0.64 | 0.71 | 0.60 | 1.00 | 0.70 | 0.53 |
| 11 | 0.53 | 0.53 | 0.56 | 0.55 | 0.63 | 0.53 | 0.62 | 0.69 | 0.56 | 0.70 | 1.00 | 0.57 |
| 12 | 0.55 | 0.53 | 0.51 | 0.54 | 0.57 | 0.58 | 0.51 | 0.53 | 0.58 | 0.53 | 0.57 | 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