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Table 1 The ranking loss and PCC of eight methods on the CASP13 dataset

From: DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural network

Model

Ranking loss

Pearson’s correlation coefficient (PCC)

DISTEMA

0.079

0.929

ProQ4

0.079

0.711

ProQ3D

0.086

0.652

ProQ3

0.089

0.594

VoroMQA-B

0.095

0.618

VoroMQA-A

0.109

0.642

QDeep

0.110

0.895

ProQ2

0.114

0.604

  1. The best performance is denoted by the bold font
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BMC Bioinformatics

ISSN: 1471-2105

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