| Project Name | JMC_Gln28STOP |
| Project Name | JMC_Gln28STOP |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 268.2 | 184.4 | 180.2 | 133.6 | 132.0 | 114.4 | 113.6 | 110.5 | 109.5 | 81.2 | 66.3 | 29.2 |
| Cluster size | 357 | 278 | 206 | 134 | 148 | 141 | 191 | 186 | 125 | 142 | 51 | 41 |
| Average cluster RMSD | 1.3 | 1.5 | 1.1 | 1.0 | 1.1 | 1.2 | 1.7 | 1.7 | 1.1 | 1.7 | 0.8 | 1.4 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 3.27 | 4.13 | 2.53 | 5.17 | 3.71 | 5.51 | 4.66 | 3.40 | 4.39 | 4.44 | 4.41 | 5.08 |
| GDT_TS | 0.75 | 0.72 | 0.75 | 0.61 | 0.63 | 0.58 | 0.56 | 0.69 | 0.62 | 0.67 | 0.69 | 0.62 |
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 | 1.36 | 3.81 | 3.07 | 3.82 | 3.40 | 2.49 | 0.97 | 3.15 | 2.12 | 4.29 | 3.13 |
| 2 | 1.36 | 0.00 | 4.52 | 2.27 | 4.21 | 2.80 | 1.78 | 1.47 | 3.02 | 1.17 | 4.49 | 2.27 |
| 3 | 3.81 | 4.52 | 0.00 | 5.49 | 2.05 | 5.84 | 4.42 | 3.83 | 3.92 | 4.72 | 2.99 | 5.44 |
| 4 | 3.07 | 2.27 | 5.49 | 0.00 | 5.39 | 1.02 | 2.80 | 3.09 | 3.08 | 2.31 | 4.80 | 0.80 |
| 5 | 3.82 | 4.21 | 2.05 | 5.39 | 0.00 | 5.52 | 4.34 | 3.69 | 3.63 | 4.35 | 1.94 | 5.41 |
| 6 | 3.40 | 2.80 | 5.84 | 1.02 | 5.52 | 0.00 | 3.48 | 3.53 | 3.07 | 2.92 | 4.80 | 1.11 |
| 7 | 2.49 | 1.78 | 4.42 | 2.80 | 4.34 | 3.48 | 0.00 | 2.29 | 3.83 | 1.76 | 4.42 | 3.00 |
| 8 | 0.97 | 1.47 | 3.83 | 3.09 | 3.69 | 3.53 | 2.29 | 0.00 | 3.23 | 2.05 | 4.28 | 3.16 |
| 9 | 3.15 | 3.02 | 3.92 | 3.08 | 3.63 | 3.07 | 3.83 | 3.23 | 0.00 | 3.14 | 4.49 | 2.97 |
| 10 | 2.12 | 1.17 | 4.72 | 2.31 | 4.35 | 2.92 | 1.76 | 2.05 | 3.14 | 0.00 | 4.63 | 2.31 |
| 11 | 4.29 | 4.49 | 2.99 | 4.80 | 1.94 | 4.80 | 4.42 | 4.28 | 4.49 | 4.63 | 0.00 | 5.01 |
| 12 | 3.13 | 2.27 | 5.44 | 0.80 | 5.41 | 1.11 | 3.00 | 3.16 | 2.97 | 2.31 | 5.01 | 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 | 0.89 | 0.59 | 0.74 | 0.64 | 0.71 | 0.79 | 0.94 | 0.71 | 0.82 | 0.60 | 0.71 |
| 2 | 0.89 | 1.00 | 0.58 | 0.79 | 0.57 | 0.77 | 0.86 | 0.91 | 0.75 | 0.98 | 0.55 | 0.79 |
| 3 | 0.59 | 0.58 | 1.00 | 0.53 | 0.77 | 0.52 | 0.56 | 0.62 | 0.68 | 0.57 | 0.79 | 0.55 |
| 4 | 0.74 | 0.79 | 0.53 | 1.00 | 0.53 | 0.94 | 0.74 | 0.72 | 0.74 | 0.80 | 0.49 | 0.96 |
| 5 | 0.64 | 0.57 | 0.77 | 0.53 | 1.00 | 0.49 | 0.59 | 0.65 | 0.54 | 0.53 | 0.80 | 0.50 |
| 6 | 0.71 | 0.77 | 0.52 | 0.94 | 0.49 | 1.00 | 0.72 | 0.69 | 0.76 | 0.74 | 0.46 | 0.93 |
| 7 | 0.79 | 0.86 | 0.56 | 0.74 | 0.59 | 0.72 | 1.00 | 0.78 | 0.71 | 0.84 | 0.57 | 0.69 |
| 8 | 0.94 | 0.91 | 0.62 | 0.72 | 0.65 | 0.69 | 0.78 | 1.00 | 0.74 | 0.88 | 0.58 | 0.73 |
| 9 | 0.71 | 0.75 | 0.68 | 0.74 | 0.54 | 0.76 | 0.71 | 0.74 | 1.00 | 0.73 | 0.49 | 0.75 |
| 10 | 0.82 | 0.98 | 0.57 | 0.80 | 0.53 | 0.74 | 0.84 | 0.88 | 0.73 | 1.00 | 0.51 | 0.79 |
| 11 | 0.60 | 0.55 | 0.79 | 0.49 | 0.80 | 0.46 | 0.57 | 0.58 | 0.49 | 0.51 | 1.00 | 0.48 |
| 12 | 0.71 | 0.79 | 0.55 | 0.96 | 0.50 | 0.93 | 0.69 | 0.73 | 0.75 | 0.79 | 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