| Project Name | Ala_Val_end |
| Project Name | Ala_Val_end |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 132.7 | 117.2 | 116.8 | 89.6 | 75.9 | 74.2 | 65.9 | 54.8 | 51.6 | 49.4 | 46.8 | 33.3 |
| Cluster size | 266 | 229 | 281 | 221 | 146 | 196 | 150 | 124 | 129 | 87 | 111 | 60 |
| Average cluster RMSD | 2.0 | 2.0 | 2.4 | 2.5 | 1.9 | 2.6 | 2.3 | 2.3 | 2.5 | 1.8 | 2.4 | 1.8 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.67 | 3.95 | 4.17 | 4.18 | 4.13 | 3.71 | 4.33 | 3.89 | 3.53 | 5.34 | 3.51 | 4.84 |
| GDT_TS | 0.64 | 0.60 | 0.56 | 0.58 | 0.58 | 0.64 | 0.56 | 0.57 | 0.64 | 0.54 | 0.64 | 0.55 |
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 | 2.74 | 3.75 | 3.63 | 3.45 | 3.48 | 3.66 | 2.70 | 1.14 | 5.09 | 3.46 | 4.52 |
| 2 | 2.74 | 0.00 | 3.81 | 3.21 | 2.93 | 3.14 | 2.54 | 1.66 | 2.78 | 3.71 | 3.50 | 3.38 |
| 3 | 3.75 | 3.81 | 0.00 | 2.28 | 3.97 | 2.60 | 2.77 | 2.95 | 3.92 | 3.40 | 2.94 | 4.12 |
| 4 | 3.63 | 3.21 | 2.28 | 0.00 | 4.65 | 1.89 | 3.60 | 2.59 | 3.80 | 4.44 | 2.69 | 4.89 |
| 5 | 3.45 | 2.93 | 3.97 | 4.65 | 0.00 | 4.32 | 2.13 | 2.87 | 3.20 | 3.44 | 4.17 | 2.17 |
| 6 | 3.48 | 3.14 | 2.60 | 1.89 | 4.32 | 0.00 | 3.42 | 2.87 | 3.72 | 4.60 | 2.10 | 4.39 |
| 7 | 3.66 | 2.54 | 2.77 | 3.60 | 2.13 | 3.42 | 0.00 | 2.43 | 3.69 | 2.06 | 3.70 | 2.43 |
| 8 | 2.70 | 1.66 | 2.95 | 2.59 | 2.87 | 2.87 | 2.43 | 0.00 | 2.70 | 3.74 | 2.78 | 3.51 |
| 9 | 1.14 | 2.78 | 3.92 | 3.80 | 3.20 | 3.72 | 3.69 | 2.70 | 0.00 | 5.07 | 3.61 | 4.42 |
| 10 | 5.09 | 3.71 | 3.40 | 4.44 | 3.44 | 4.60 | 2.06 | 3.74 | 5.07 | 0.00 | 4.79 | 3.00 |
| 11 | 3.46 | 3.50 | 2.94 | 2.69 | 4.17 | 2.10 | 3.70 | 2.78 | 3.61 | 4.79 | 0.00 | 4.08 |
| 12 | 4.52 | 3.38 | 4.12 | 4.89 | 2.17 | 4.39 | 2.43 | 3.51 | 4.42 | 3.00 | 4.08 | 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 | 0.76 | 0.62 | 0.65 | 0.63 | 0.66 | 0.65 | 0.71 | 0.91 | 0.61 | 0.70 | 0.60 |
| 2 | 0.76 | 1.00 | 0.67 | 0.65 | 0.66 | 0.67 | 0.76 | 0.85 | 0.73 | 0.67 | 0.73 | 0.67 |
| 3 | 0.62 | 0.67 | 1.00 | 0.77 | 0.64 | 0.77 | 0.76 | 0.72 | 0.63 | 0.67 | 0.79 | 0.68 |
| 4 | 0.65 | 0.65 | 0.77 | 1.00 | 0.56 | 0.84 | 0.62 | 0.71 | 0.61 | 0.57 | 0.81 | 0.57 |
| 5 | 0.63 | 0.66 | 0.64 | 0.56 | 1.00 | 0.56 | 0.76 | 0.68 | 0.64 | 0.67 | 0.61 | 0.81 |
| 6 | 0.66 | 0.67 | 0.77 | 0.84 | 0.56 | 1.00 | 0.60 | 0.68 | 0.64 | 0.56 | 0.88 | 0.57 |
| 7 | 0.65 | 0.76 | 0.76 | 0.62 | 0.76 | 0.60 | 1.00 | 0.82 | 0.70 | 0.85 | 0.71 | 0.75 |
| 8 | 0.71 | 0.85 | 0.72 | 0.71 | 0.68 | 0.68 | 0.82 | 1.00 | 0.70 | 0.67 | 0.73 | 0.67 |
| 9 | 0.91 | 0.73 | 0.63 | 0.61 | 0.64 | 0.64 | 0.70 | 0.70 | 1.00 | 0.67 | 0.70 | 0.63 |
| 10 | 0.61 | 0.67 | 0.67 | 0.57 | 0.67 | 0.56 | 0.85 | 0.67 | 0.67 | 1.00 | 0.65 | 0.78 |
| 11 | 0.70 | 0.73 | 0.79 | 0.81 | 0.61 | 0.88 | 0.71 | 0.73 | 0.70 | 0.65 | 1.00 | 0.60 |
| 12 | 0.60 | 0.67 | 0.68 | 0.57 | 0.81 | 0.57 | 0.75 | 0.67 | 0.63 | 0.78 | 0.60 | 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