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Table 2 Comparison of misclassification rates (percentages) for our ANN approach, Stanford HIVdb and SHIVA

From: Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks

ARVs

ANN

HIVdb

SHIVA

PIs

ATV

26.61

28.57

84.53

DRV

2.98

22.57

32.41–53.49

FPV

16.08

36.97

67.0–79.74

IDV

34.29

26.19

81.92

LPV

9.79

36.82

68.05–83.51

NFV

25.23

20.36

80.84

SQV

30.37

38.75

67.25–88.16

TPV

9.07

39.88

unavailable

NRTIs

3TC

3.87

12.09

90.21

ABC

6.53

33.78

50.76–72.25

AZT

36.19

29.88

90.38

D4T

7.31

44.07

79.15

DDI

8.05

57.52

34.14–92.44

TDF

5.39

37.2

37.36–66.53

NNRTIs

EFV

16.08

21.05

81.32

ETR

6.58

13.21

unavailable

NVP

24.87

9.4

73.97

RPV

1.55

24.99

8.33

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BMC Bioinformatics

ISSN: 1471-2105

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