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Table 2 Regression performance comparison of NeEMO with other methods on the ten-fold cross-validation test.

From: NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation

  

r

ρ

τ

Method

Mutations

Method

NeEMO

Method

NeEMO

Method

NeEMO

Auto-Mute

1,144

0.691

0.640

0.686

0.635

0.509

0.456

I-Mutant 2.0

2,171

0.642

0.678

0.623

0.652

0.467

0.471

I-Mutant 3.0

2,112

0.620

0.679

0.623

0.658

0.434

0.477

MuPro

2,398

0.606

0.665

0.571

0.643

0.416

0.465

PoPMuSiC 2.0

2,399

0.623

0.666

0.617

0.644

0.445

0.465

  1. The evaluation is performed only on mutations where both methods were able to make a prediction. In addition, the other methods are likely to have used the test samples in their training.
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BMC Genomics

ISSN: 1471-2164

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