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Table 3 The performance of the QA predictor in terms of average correlation, overall correlation, average real GDT-TS score of top 1 models ranked by each method, and average loss of top 1 models ranked by each method, evaluated on 8 FM (free modeling) CASP9 single-domain targets

From: SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines

  Avg. correlation Over. correlation Avg. top 1 Avg. loss
Basic (85 targets) 0.577 0.516 0.267 0.078
Profile 0.590 0.427 0.254 0.091
Profile + SOV 0.586 0.431 0.267 0.078
M.-NOVEL 0.386 0.480 0.235 0.115
ProQ 0.478 0.437 0.266 0.090
ProQ2 0.529 0.465 0.289 0.066
QMEAN 0.507 0.456 0.266 0.090
  1. Top 3 QA predictors’ performances according to each metric were bolded.