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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.
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BMC Bioinformatics

ISSN: 1471-2105

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