| Project Name | S50G |
| Project Name | S50G |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 160.1 | 149.0 | 140.9 | 138.6 | 121.4 | 118.7 | 107.1 | 81.6 | 74.8 | 66.7 | 50.0 | 34.7 |
| Cluster size | 245 | 252 | 221 | 217 | 148 | 253 | 145 | 156 | 141 | 118 | 62 | 42 |
| Average cluster RMSD | 1.5 | 1.7 | 1.6 | 1.6 | 1.2 | 2.1 | 1.4 | 1.9 | 1.9 | 1.8 | 1.2 | 1.2 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 7.37 | 7.23 | 6.53 | 7.89 | 7.96 | 6.95 | 7.33 | 7.49 | 7.31 | 7.97 | 8.55 | 7.91 |
| GDT_TS | 0.41 | 0.46 | 0.41 | 0.33 | 0.43 | 0.42 | 0.42 | 0.47 | 0.41 | 0.36 | 0.40 | 0.36 |
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 | 2.96 | 3.76 | 4.93 | 2.94 | 4.07 | 2.30 | 6.62 | 3.30 | 4.71 | 6.11 | 4.62 |
| 2 | 2.96 | 0.00 | 2.43 | 4.64 | 3.14 | 4.43 | 3.04 | 5.79 | 1.73 | 4.62 | 5.65 | 4.36 |
| 3 | 3.76 | 2.43 | 0.00 | 3.78 | 3.52 | 4.27 | 3.57 | 5.44 | 2.46 | 4.03 | 6.48 | 4.14 |
| 4 | 4.93 | 4.64 | 3.78 | 0.00 | 5.43 | 4.83 | 5.34 | 5.95 | 4.51 | 1.16 | 6.64 | 3.45 |
| 5 | 2.94 | 3.14 | 3.52 | 5.43 | 0.00 | 5.14 | 2.27 | 5.68 | 3.74 | 5.44 | 6.26 | 5.32 |
| 6 | 4.07 | 4.43 | 4.27 | 4.83 | 5.14 | 0.00 | 4.82 | 6.36 | 4.34 | 4.49 | 6.25 | 4.82 |
| 7 | 2.30 | 3.04 | 3.57 | 5.34 | 2.27 | 4.82 | 0.00 | 6.31 | 2.86 | 5.23 | 6.68 | 4.78 |
| 8 | 6.62 | 5.79 | 5.44 | 5.95 | 5.68 | 6.36 | 6.31 | 0.00 | 5.78 | 6.16 | 3.52 | 6.59 |
| 9 | 3.30 | 1.73 | 2.46 | 4.51 | 3.74 | 4.34 | 2.86 | 5.78 | 0.00 | 4.48 | 5.96 | 4.19 |
| 10 | 4.71 | 4.62 | 4.03 | 1.16 | 5.44 | 4.49 | 5.23 | 6.16 | 4.48 | 0.00 | 6.41 | 3.02 |
| 11 | 6.11 | 5.65 | 6.48 | 6.64 | 6.26 | 6.25 | 6.68 | 3.52 | 5.96 | 6.41 | 0.00 | 6.71 |
| 12 | 4.62 | 4.36 | 4.14 | 3.45 | 5.32 | 4.82 | 4.78 | 6.59 | 4.19 | 3.02 | 6.71 | 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 | 0.70 | 0.64 | 0.52 | 0.74 | 0.64 | 0.85 | 0.56 | 0.67 | 0.53 | 0.64 | 0.61 |
| 2 | 0.70 | 1.00 | 0.74 | 0.50 | 0.69 | 0.63 | 0.73 | 0.57 | 0.82 | 0.50 | 0.58 | 0.54 |
| 3 | 0.64 | 0.74 | 1.00 | 0.65 | 0.68 | 0.67 | 0.68 | 0.60 | 0.74 | 0.61 | 0.53 | 0.58 |
| 4 | 0.52 | 0.50 | 0.65 | 1.00 | 0.45 | 0.63 | 0.51 | 0.55 | 0.59 | 0.93 | 0.42 | 0.72 |
| 5 | 0.74 | 0.69 | 0.68 | 0.45 | 1.00 | 0.66 | 0.75 | 0.55 | 0.58 | 0.45 | 0.61 | 0.52 |
| 6 | 0.64 | 0.63 | 0.67 | 0.63 | 0.66 | 1.00 | 0.63 | 0.66 | 0.64 | 0.62 | 0.52 | 0.65 |
| 7 | 0.85 | 0.73 | 0.68 | 0.51 | 0.75 | 0.63 | 1.00 | 0.54 | 0.69 | 0.52 | 0.59 | 0.55 |
| 8 | 0.56 | 0.57 | 0.60 | 0.55 | 0.55 | 0.66 | 0.54 | 1.00 | 0.59 | 0.53 | 0.71 | 0.54 |
| 9 | 0.67 | 0.82 | 0.74 | 0.59 | 0.58 | 0.64 | 0.69 | 0.59 | 1.00 | 0.57 | 0.55 | 0.60 |
| 10 | 0.53 | 0.50 | 0.61 | 0.93 | 0.45 | 0.62 | 0.52 | 0.53 | 0.57 | 1.00 | 0.43 | 0.72 |
| 11 | 0.64 | 0.58 | 0.53 | 0.42 | 0.61 | 0.52 | 0.59 | 0.71 | 0.55 | 0.43 | 1.00 | 0.48 |
| 12 | 0.61 | 0.54 | 0.58 | 0.72 | 0.52 | 0.65 | 0.55 | 0.54 | 0.60 | 0.72 | 0.48 | 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