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Table 1 Summary of the datasets

From: Predicting protein-ligand binding residues with deep convolutional neural networks

 

\(\phantom {\dot {i}\!}N_{Prot^{1}}\)

\(\phantom {\dot {i}\!}N_{BR^{2}}\)

\(\phantom {\dot {i}\!}N_{NBR^{3}}\)

\(\phantom {\dot {i}\!}P_{BR(\%)^{4}}\)

Train 5

4237

34564

1245517

2.78

Aug-Train

37821

348180

11310574

3.08

SITA

151

1340

45126

2.97

SITA-EX1

187

1528

56122

2.72

SITA-EX2

226

1725

68729

2.51

SITA-EX3

253

1890

75161

2.51

  1. 1 NProt: number of proteins
  2. 2 NBR: number of binding residues
  3. 3 NNBR: number of non-binding residues
  4. 4 PBR: proportion of binding residues
  5. 5Train: original training set