| Project Name | Val_Ala |
| Project Name | Val_Ala |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 185.2 | 162.7 | 159.7 | 136.4 | 122.8 | 117.6 | 110.4 | 78.5 | 58.9 | 41.5 | 40.9 | 35.2 |
| Cluster size | 253 | 208 | 232 | 256 | 218 | 171 | 165 | 138 | 131 | 82 | 77 | 69 |
| Average cluster RMSD | 1.4 | 1.3 | 1.5 | 1.9 | 1.8 | 1.5 | 1.5 | 1.8 | 2.2 | 2.0 | 1.9 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.77 | 4.31 | 3.76 | 3.48 | 3.82 | 3.91 | 4.13 | 3.89 | 3.55 | 4.40 | 4.38 | 4.41 |
| GDT_TS | 0.61 | 0.56 | 0.62 | 0.61 | 0.57 | 0.54 | 0.60 | 0.60 | 0.60 | 0.59 | 0.59 | 0.53 |
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 | 1.47 | 3.48 | 2.45 | 2.76 | 3.45 | 3.90 | 3.58 | 2.65 | 2.01 | 3.82 | 4.28 |
| 2 | 1.47 | 0.00 | 3.72 | 2.55 | 2.60 | 3.87 | 4.28 | 4.13 | 2.65 | 2.19 | 4.40 | 4.56 |
| 3 | 3.48 | 3.72 | 0.00 | 2.32 | 1.70 | 5.11 | 1.33 | 1.50 | 4.21 | 3.88 | 2.21 | 5.33 |
| 4 | 2.45 | 2.55 | 2.32 | 0.00 | 1.80 | 3.53 | 3.00 | 2.93 | 2.71 | 3.22 | 3.09 | 4.09 |
| 5 | 2.76 | 2.60 | 1.70 | 1.80 | 0.00 | 4.49 | 2.49 | 2.43 | 3.49 | 3.14 | 2.91 | 4.78 |
| 6 | 3.45 | 3.87 | 5.11 | 3.53 | 4.49 | 0.00 | 5.72 | 5.35 | 2.55 | 3.96 | 5.43 | 2.11 |
| 7 | 3.90 | 4.28 | 1.33 | 3.00 | 2.49 | 5.72 | 0.00 | 0.88 | 4.75 | 4.40 | 1.83 | 6.00 |
| 8 | 3.58 | 4.13 | 1.50 | 2.93 | 2.43 | 5.35 | 0.88 | 0.00 | 4.58 | 4.04 | 1.65 | 5.66 |
| 9 | 2.65 | 2.65 | 4.21 | 2.71 | 3.49 | 2.55 | 4.75 | 4.58 | 0.00 | 3.07 | 4.58 | 2.81 |
| 10 | 2.01 | 2.19 | 3.88 | 3.22 | 3.14 | 3.96 | 4.40 | 4.04 | 3.07 | 0.00 | 3.90 | 4.46 |
| 11 | 3.82 | 4.40 | 2.21 | 3.09 | 2.91 | 5.43 | 1.83 | 1.65 | 4.58 | 3.90 | 0.00 | 5.73 |
| 12 | 4.28 | 4.56 | 5.33 | 4.09 | 4.78 | 2.11 | 6.00 | 5.66 | 2.81 | 4.46 | 5.73 | 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 | 0.85 | 0.64 | 0.77 | 0.71 | 0.68 | 0.59 | 0.61 | 0.80 | 0.85 | 0.64 | 0.60 |
| 2 | 0.85 | 1.00 | 0.64 | 0.74 | 0.73 | 0.67 | 0.60 | 0.63 | 0.82 | 0.82 | 0.58 | 0.62 |
| 3 | 0.64 | 0.64 | 1.00 | 0.73 | 0.82 | 0.53 | 0.85 | 0.82 | 0.59 | 0.72 | 0.77 | 0.50 |
| 4 | 0.77 | 0.74 | 0.73 | 1.00 | 0.78 | 0.62 | 0.65 | 0.66 | 0.74 | 0.73 | 0.70 | 0.55 |
| 5 | 0.71 | 0.73 | 0.82 | 0.78 | 1.00 | 0.60 | 0.69 | 0.69 | 0.67 | 0.85 | 0.66 | 0.55 |
| 6 | 0.68 | 0.67 | 0.53 | 0.62 | 0.60 | 1.00 | 0.51 | 0.56 | 0.76 | 0.67 | 0.49 | 0.83 |
| 7 | 0.59 | 0.60 | 0.85 | 0.65 | 0.69 | 0.51 | 1.00 | 0.96 | 0.54 | 0.62 | 0.89 | 0.48 |
| 8 | 0.61 | 0.63 | 0.82 | 0.66 | 0.69 | 0.56 | 0.96 | 1.00 | 0.57 | 0.63 | 0.87 | 0.49 |
| 9 | 0.80 | 0.82 | 0.59 | 0.74 | 0.67 | 0.76 | 0.54 | 0.57 | 1.00 | 0.79 | 0.57 | 0.70 |
| 10 | 0.85 | 0.82 | 0.72 | 0.73 | 0.85 | 0.67 | 0.62 | 0.63 | 0.79 | 1.00 | 0.62 | 0.62 |
| 11 | 0.64 | 0.58 | 0.77 | 0.70 | 0.66 | 0.49 | 0.89 | 0.87 | 0.57 | 0.62 | 1.00 | 0.47 |
| 12 | 0.60 | 0.62 | 0.50 | 0.55 | 0.55 | 0.83 | 0.48 | 0.49 | 0.70 | 0.62 | 0.47 | 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