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Table 11 The added value of re-ranking with weighted scores (cumulative observed model quality)

From: Benchmarking consensus model quality assessment for protein fold recognition

  TM-score MaxSub GDT Combined
ModFOLD 0.69 0.67 0.70 0.69
ProQLG 0.56 0.56 0.57 0.56
PROQ* 0.55 0.57 0.55 0.56
MODCHECK 0.48 0.47 0.46 0.47
ProQMX 0.19 0.33 0.33 0.28
3D-Jury 0.01 -0.04 -0.04 -0.02
ModSSEA -0.07 -0.02 0.00 -0.03
Random -3.41 -3.62 -3.78 -3.58
  1. Similar to Table 9, however the original server ranking is also considered and added to the score as an extra weighting ((6-r)/40, where r is the original server ranking between 1 and 5). 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.