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Table 12 The added value of re-ranking with weighted scores (proportion of improved servers)

From: Benchmarking consensus model quality assessment for protein fold recognition

  TM-score MaxSub GDT Combined
MODCHECK 0.74 0.80 0.77 0.77
ModFOLD 0.74 0.74 0.71 0.74
ProQLG 0.71 0.69 0.71 0.71
PROQ* 0.71 0.74 0.69 0.69
ProQMX 0.57 0.63 0.63 0.63
ModSSEA 0.51 0.51 0.51 0.51
3D-Jury 0.54 0.49 0.57 0.49
Random 0.03 0.03 0.06 0.06
  1. Similar to Table 10, 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.
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