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Table 1 The accuracy order of dimers in test set

From: Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction

Accuracy order

layer _10

layer _20

layer _30

layer _40

layer _50

layer _60

layer _70

layer _56

layer _58

layer _59

layer _60

layer _61

layer _62

1H9D

0.002534

0.003481

0.000013

0.000040

0.000067

0.000053

0.000747

0.003801

0.001147

0.000854

0.000053

0.017938

0.001227

1GL1

0.018904

0.006083

0.012480

0.000708

0.003592

0.005086

0.008416

0.011222

0.000105

0.001363

0.005086

0.005034

0.000026

2G77

0.009398

0.006355

0.002103

0.000076

0.001325

0.000636

0.000098

0.002614

0.001325

0.000443

0.000636

0.000210

0.002914

2VDB

0.000991

0.000991

0.002419

0.000091

0.001487

0.000202

0.000417

0.002680

0.001213

0.000972

0.000202

0.000913

0.004108

1KTZ

0.011788

0.006598

0.004096

0.007914

0.014994

0.002094

0.022055

0.060532

0.005134

0.003077

0.002094

0.034992

0.004874

1S1Q

0.003033

0.002597

0.000437

0.002757

0.000827

0.000758

0.001126

70.001815

0.003699

0.006112

0.000758

0.000184

0.009720

1BUH

0.000137

0.002547

0.001425

0.010694

0.007806

0.009923

0.000742

0.004908

0.003434

0.001229

0.009923

0.016499

0.000185

1BKD

0.003846

0.000317

0.002938

0.002416

0.000311

0.000227

0.000386

0.000053

0.000945

0.002301

0.000227

0.000724

0.001468

1GPW

0.000556

0.000281

0.004957

0.001203

0.001449

0.000386

0.000311

0.002241

0.000160

0.000226

0.000386

0.000647

0.000496

1SYX

0.000989

0.006525

0.000537

0.000141

0.001271

0.000876

0.001864

0.001328

0.000141

0.009181

0.000876

0.001977

0.002740

1Z5Y

0.029783

0.001220

0.001341

0.000157

0.006787

0.000254

0.003635

0.001981

0.004903

0.008816

0.000254

0.000157

0.002778

mean

0.007451

0.003363

0.002977

0.002382

0.003629

0.001863

0.003618

0.008470

0.002019

0.003143

0.001863

0.007207

0.002776

  1. Note: mean means the average of columns and the bold fonts are the minimal mean values of the corresponding model and the layer _m means that the layer number is m