| Project Name | CHEM361IndividualProjectCJL |
| Project Name | CHEM361IndividualProjectCJL |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 130.5 | 116.7 | 100.4 | 83.1 | 59.7 | 52.5 | 49.9 | 47.7 | 41.9 | 37.8 | 33.6 | 32.8 |
| Cluster size | 311 | 293 | 169 | 202 | 187 | 176 | 128 | 146 | 140 | 81 | 104 | 63 |
| Average cluster RMSD | 2.4 | 2.5 | 1.7 | 2.4 | 3.1 | 3.3 | 2.6 | 3.1 | 3.3 | 2.1 | 3.1 | 1.9 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 4.82 | 5.25 | 4.10 | 6.03 | 5.65 | 5.64 | 3.76 | 5.95 | 6.27 | 5.33 | 4.33 | 7.25 |
| GDT_TS | 0.60 | 0.58 | 0.63 | 0.50 | 0.58 | 0.56 | 0.64 | 0.62 | 0.55 | 0.53 | 0.63 | 0.47 |
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 | 1.07 | 3.66 | 2.49 | 1.75 | 2.74 | 2.31 | 3.29 | 3.59 | 5.15 | 1.95 | 7.23 |
| 2 | 1.07 | 0.00 | 4.15 | 2.33 | 1.60 | 2.75 | 2.84 | 3.07 | 3.51 | 5.55 | 2.27 | 7.47 |
| 3 | 3.66 | 4.15 | 0.00 | 5.34 | 4.22 | 4.57 | 1.97 | 4.99 | 5.29 | 2.89 | 3.40 | 5.47 |
| 4 | 2.49 | 2.33 | 5.34 | 0.00 | 2.85 | 3.38 | 3.73 | 3.46 | 3.60 | 6.88 | 3.28 | 8.56 |
| 5 | 1.75 | 1.60 | 4.22 | 2.85 | 0.00 | 2.00 | 3.10 | 2.90 | 2.91 | 5.03 | 2.75 | 6.86 |
| 6 | 2.74 | 2.75 | 4.57 | 3.38 | 2.00 | 0.00 | 3.54 | 2.83 | 2.02 | 5.15 | 3.36 | 6.39 |
| 7 | 2.31 | 2.84 | 1.97 | 3.73 | 3.10 | 3.54 | 0.00 | 3.83 | 4.24 | 4.04 | 2.23 | 6.36 |
| 8 | 3.29 | 3.07 | 4.99 | 3.46 | 2.90 | 2.83 | 3.83 | 0.00 | 2.20 | 5.84 | 3.91 | 6.42 |
| 9 | 3.59 | 3.51 | 5.29 | 3.60 | 2.91 | 2.02 | 4.24 | 2.20 | 0.00 | 5.89 | 4.24 | 6.29 |
| 10 | 5.15 | 5.55 | 2.89 | 6.88 | 5.03 | 5.15 | 4.04 | 5.84 | 5.89 | 0.00 | 4.79 | 3.82 |
| 11 | 1.95 | 2.27 | 3.40 | 3.28 | 2.75 | 3.36 | 2.23 | 3.91 | 4.24 | 4.79 | 0.00 | 7.26 |
| 12 | 7.23 | 7.47 | 5.47 | 8.56 | 6.86 | 6.39 | 6.36 | 6.42 | 6.29 | 3.82 | 7.26 | 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 | 0.92 | 0.71 | 0.77 | 0.90 | 0.83 | 0.80 | 0.84 | 0.81 | 0.63 | 0.84 | 0.51 |
| 2 | 0.92 | 1.00 | 0.69 | 0.75 | 0.89 | 0.80 | 0.77 | 0.85 | 0.80 | 0.59 | 0.80 | 0.49 |
| 3 | 0.71 | 0.69 | 1.00 | 0.58 | 0.66 | 0.59 | 0.84 | 0.66 | 0.58 | 0.78 | 0.73 | 0.62 |
| 4 | 0.77 | 0.75 | 0.58 | 1.00 | 0.77 | 0.76 | 0.65 | 0.70 | 0.78 | 0.52 | 0.71 | 0.46 |
| 5 | 0.90 | 0.89 | 0.66 | 0.77 | 1.00 | 0.88 | 0.79 | 0.81 | 0.88 | 0.58 | 0.81 | 0.49 |
| 6 | 0.83 | 0.80 | 0.59 | 0.76 | 0.88 | 1.00 | 0.71 | 0.81 | 0.94 | 0.55 | 0.78 | 0.49 |
| 7 | 0.80 | 0.77 | 0.84 | 0.65 | 0.79 | 0.71 | 1.00 | 0.75 | 0.67 | 0.70 | 0.82 | 0.56 |
| 8 | 0.84 | 0.85 | 0.66 | 0.70 | 0.81 | 0.81 | 0.75 | 1.00 | 0.80 | 0.62 | 0.80 | 0.55 |
| 9 | 0.81 | 0.80 | 0.58 | 0.78 | 0.88 | 0.94 | 0.67 | 0.80 | 1.00 | 0.55 | 0.75 | 0.50 |
| 10 | 0.63 | 0.59 | 0.78 | 0.52 | 0.58 | 0.55 | 0.70 | 0.62 | 0.55 | 1.00 | 0.62 | 0.75 |
| 11 | 0.84 | 0.80 | 0.73 | 0.71 | 0.81 | 0.78 | 0.82 | 0.80 | 0.75 | 0.62 | 1.00 | 0.52 |
| 12 | 0.51 | 0.49 | 0.62 | 0.46 | 0.49 | 0.49 | 0.56 | 0.55 | 0.50 | 0.75 | 0.52 | 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