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Table 8 Comparisons of performance between MusiteDeep with MultiLyGAN

From: Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

 

PLMs

Acc

Sp

Sn

MCC

AUC

MusiteDeep

Ubiquitination

0.6641

0.8078

0.2261

0.0365

0.5255

Sumoylation

0.6668

0.6863

0.4723

0.0972

0.6125

Acetylation

0.5039

0.4818

0.5730

0.0471

0.5512

Methylation

0.8386

0.9093

0.1135

0.0224

0.4773

MultiLyGAN

Our method

Ubiquitination

0.9634

0.9592

0.9902

0.8672

0.9974

Sumoylation

0.9686

0.9955

0.8186

0.8741

0.9856

Acetylation

0.9264

0.9314

0.8970

0.7443

0.9868

Methylation

0.9711

0.9945

0.8278

0.8761

0.9845

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BMC Bioinformatics

ISSN: 1471-2105

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