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Table 7 The representative scaffolds found in the tested molecules with large prediction errors (MAE > 1.0)

From: ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling

No.

Scaffolds

Training set

Test set

Tested molecules with large prediction errors

N

pLD a50

MAE

N

pLD a50

MAE

N

pLD a50

MAE

1

3

3.421

0.579

3

2.689

1.941

3

2.689

1.941

2

1

3.977

1.253

5

3.070

1.170

2

3.008

1.892

3

4

4.140

0.444

3

4.005

1.498

2

3.972

1.836

4

16

3.053

0.414

6

3.270

0.896

2

3.867

1.103

5

8

3.122

0.354

4

2.919

1.268

2

3.067

1.890

6

3

2.831

0.287

3

2.617

1.089

2

2.674

1.340

7

13

2.916

0.360

12

3.098

0.954

7

3.293

1.364

8

2

3.162

0.517

3

2.689

1.941

3

2.689

1.941

9

61

2.706

0.165

12

2.720

0.917

4

2.801

1.829

10

0

–

–

3

2.540

1.114

2

2.456

1.396

  1. aPredicted pLD50 based on the best consensus model