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Table 2 Evaluations of our method MASS with seven top-ranking single-model methods in stage 2 for 72 targets of CASP 12 (groups are ranked by wmPMCC and best results are highlighted in bold)

From: MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials

Group ID

wmPMCC

Ave loss

Ave ΔGDT

MCC

ROC

SVMQA

0.677

0.05608

0.00091

0.62

0.90

ProQ3

0.664

0.06073

0.00064

0.67

0.93

MASS

0.649

0.08744

0.00086

0.62

0.90

QASproGP

0.634

0.07992

0.00069

0.65

0.92

VoroMQA

0.619

0.08169

0.00077

0.16

0.86

DeepQA

0.616

0.08145

0.00051

0.69

0.93

Myprotein-me

0.614

0.10350

0.00089

0.44

0.80

QMEAN

0.311

0.10546

0.00141

0.41

0.81

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BMC Bioinformatics

ISSN: 1471-2105

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