| Project Name | JMC_Asp129Asn |
| Project Name | JMC_Asp129Asn |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 113.0 | 110.6 | 101.9 | 85.3 | 83.2 | 78.1 | 57.0 | 52.2 | 52.0 | 45.6 | 44.4 | 43.4 |
| Cluster size | 253 | 244 | 188 | 169 | 183 | 210 | 170 | 88 | 125 | 142 | 86 | 142 |
| Average cluster RMSD | 2.2 | 2.2 | 1.8 | 2.0 | 2.2 | 2.7 | 3.0 | 1.7 | 2.4 | 3.1 | 1.9 | 3.3 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 6.55 | 5.54 | 6.01 | 5.00 | 5.92 | 5.63 | 6.95 | 4.07 | 5.23 | 5.97 | 7.73 | 6.14 |
| GDT_TS | 0.54 | 0.59 | 0.60 | 0.61 | 0.51 | 0.58 | 0.55 | 0.61 | 0.64 | 0.60 | 0.55 | 0.61 |
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 | 2.70 | 3.50 | 3.64 | 1.45 | 3.00 | 2.49 | 3.44 | 3.77 | 2.33 | 4.72 | 3.68 |
| 2 | 2.70 | 0.00 | 1.62 | 1.65 | 2.28 | 1.41 | 2.75 | 2.84 | 2.06 | 2.18 | 5.20 | 3.32 |
| 3 | 3.50 | 1.62 | 0.00 | 1.75 | 3.02 | 1.96 | 3.06 | 3.54 | 1.67 | 2.98 | 6.00 | 3.69 |
| 4 | 3.64 | 1.65 | 1.75 | 0.00 | 2.92 | 2.13 | 3.56 | 2.50 | 1.64 | 2.88 | 5.62 | 3.93 |
| 5 | 1.45 | 2.28 | 3.02 | 2.92 | 0.00 | 2.61 | 2.78 | 2.85 | 3.03 | 2.37 | 5.15 | 3.78 |
| 6 | 3.00 | 1.41 | 1.96 | 2.13 | 2.61 | 0.00 | 2.67 | 3.18 | 2.33 | 2.15 | 5.40 | 2.67 |
| 7 | 2.49 | 2.75 | 3.06 | 3.56 | 2.78 | 2.67 | 0.00 | 4.13 | 3.72 | 2.02 | 4.58 | 2.67 |
| 8 | 3.44 | 2.84 | 3.54 | 2.50 | 2.85 | 3.18 | 4.13 | 0.00 | 2.91 | 3.15 | 5.45 | 4.23 |
| 9 | 3.77 | 2.06 | 1.67 | 1.64 | 3.03 | 2.33 | 3.72 | 2.91 | 0.00 | 3.19 | 6.46 | 4.13 |
| 10 | 2.33 | 2.18 | 2.98 | 2.88 | 2.37 | 2.15 | 2.02 | 3.15 | 3.19 | 0.00 | 4.18 | 2.50 |
| 11 | 4.72 | 5.20 | 6.00 | 5.62 | 5.15 | 5.40 | 4.58 | 5.45 | 6.46 | 4.18 | 0.00 | 4.83 |
| 12 | 3.68 | 3.32 | 3.69 | 3.93 | 3.78 | 2.67 | 2.67 | 4.23 | 4.13 | 2.50 | 4.83 | 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 | 0.73 | 0.63 | 0.69 | 0.87 | 0.72 | 0.77 | 0.68 | 0.68 | 0.79 | 0.78 | 0.74 |
| 2 | 0.73 | 1.00 | 0.83 | 0.84 | 0.76 | 0.97 | 0.79 | 0.74 | 0.80 | 0.85 | 0.76 | 0.82 |
| 3 | 0.63 | 0.83 | 1.00 | 0.85 | 0.66 | 0.83 | 0.76 | 0.69 | 0.86 | 0.75 | 0.69 | 0.74 |
| 4 | 0.69 | 0.84 | 0.85 | 1.00 | 0.71 | 0.85 | 0.76 | 0.74 | 0.88 | 0.80 | 0.75 | 0.75 |
| 5 | 0.87 | 0.76 | 0.66 | 0.71 | 1.00 | 0.74 | 0.73 | 0.71 | 0.68 | 0.81 | 0.72 | 0.76 |
| 6 | 0.72 | 0.97 | 0.83 | 0.85 | 0.74 | 1.00 | 0.77 | 0.74 | 0.80 | 0.88 | 0.77 | 0.84 |
| 7 | 0.77 | 0.79 | 0.76 | 0.76 | 0.73 | 0.77 | 1.00 | 0.72 | 0.80 | 0.77 | 0.70 | 0.76 |
| 8 | 0.68 | 0.74 | 0.69 | 0.74 | 0.71 | 0.74 | 0.72 | 1.00 | 0.74 | 0.76 | 0.79 | 0.71 |
| 9 | 0.68 | 0.80 | 0.86 | 0.88 | 0.68 | 0.80 | 0.80 | 0.74 | 1.00 | 0.77 | 0.73 | 0.75 |
| 10 | 0.79 | 0.85 | 0.75 | 0.80 | 0.81 | 0.88 | 0.77 | 0.76 | 0.77 | 1.00 | 0.74 | 0.92 |
| 11 | 0.78 | 0.76 | 0.69 | 0.75 | 0.72 | 0.77 | 0.70 | 0.79 | 0.73 | 0.74 | 1.00 | 0.72 |
| 12 | 0.74 | 0.82 | 0.74 | 0.75 | 0.76 | 0.84 | 0.76 | 0.71 | 0.75 | 0.92 | 0.72 | 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