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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.