Table II.
Top 15 best per-target improvements in GDT_TS made by any team considering all 5 models submitted and the number of targets for which each team improved the original model.
| Group | Target | Best GDT_TS Improvement per target |
Number of targets for which ΔGDT_TS > 0 |
|---|---|---|---|
| Anthropic_Dreams | TR671 | 10.51 | 3 |
| Void_Crushers | TR663 | 8.06 | 5 |
| wfFUIK | TR722 | 7.87 | 6 |
| Schroderlab | TR705 | 6.51 | 7 |
| FEIG | TR723 | 6.30 | 23 |
| Schroderlab | TR704 | 5.85 | |
| FOLDIT | TR710 | 5.15 | 3 |
| Seok | TR681 | 4.84 | 16 |
| BAKER | TR696 | 4.50 | 8 |
| FEIG | TR738 | 4.42 | |
| FEIG | TR662 | 4.33 | |
| FEIG | TR750 | 3.71 | |
| FRESS_server | TR754 | 3.67 | 6 |
| Mufold-R | TR720 | 3.03 | 6 |
| Pcons-net | TR644 | 2.84 | 1 |
Foldit-based methods are highlighted in yellow.