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Table 10 The added value of re-ranking measured by the proportion of improved servers

From: Benchmarking consensus model quality assessment for protein fold recognition

  TM-score MaxSub GDT Combined
PROQ* 0.69 0.71 0.69 0.69
ModFOLD 0.66 0.66 0.66 0.66
ProQLG 0.60 0.60 0.60 0.63
MODCHECK 0.46 0.51 0.57 0.60
ProQMX 0.43 0.46 0.43 0.49
3D-Jury 0.44 0.38 0.47 0.44
ModSSEA 0.20 0.17 0.23 0.20
Random 0.03 0.03 0.06 0.03
  1. The proportion of the fold recognition servers (out of the 35 tested) which have been improved according to observed model quality scores through the re-ranking of models using each MQAP method. 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.