| Â | TM-score | MaxSub | GDT | Combined |
|---|
ModFOLD | 0.42 | 0.42 | 0.47 | 0.44 |
ProQLG | 0.27 | 0.32 | 0.33 | 0.31 |
PROQ* | 0.23 | 0.34 | 0.30 | 0.29 |
MODCHECK | 0.25 | 0.32 | 0.30 | 0.29 |
ProQMX | -0.09 | 0.05 | 0.00 | -0.01 |
3D-Jury†| -0.49 | -0.61 | -0.59 | -0.56 |
ModSSEA | -1.12 | -1.06 | -0.97 | -1.05 |
Random | -3.61 | -3.56 | -3.48 | -3.55 |
- The mean difference in cumulative observed model quality scores if each MQAP method is used to re-rank the models from each individual fold recognition server. The results achieved from a random re-ranking of models from each server (random assignment of scores between 0 and 1) are also shown for comparison. * The official predicted MQAP scores for these methods were downloaded from CASP7 website; all other MQAP methods were run in house during the CASP7 experiment. †MQAP methods which rely on the comparison of multiple models or additional information from multiple servers; all other methods are capable of producing a single score for a single model.
