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Table 5 Positive likelihood ratios for HIV-1 PR rules.

From: How to find simple and accurate rules for viral protease cleavage specificities

Rules used

Positive likelihood ratio

Sensitivity

Specificity

HIVA1

11.3

31%

97%

HIVA1, HIVB1

6.2

41%

93%

HIVA1, HIVB1, HIVC1

5.2

57%

89%

HIVA1, HIVB1, HIVC1, HIVD1

4.7

61%

87%

HIVA1, HIVB1, HIVC1, HIVD1, HIVE1

4.7

64%

86%

HIVA2

11.3

33%

97%

HIVA2, HIVB2

6.8

40%

94%

HIVA2, HIVB2, HIVC2

5.6

44%

92%

HIVA2, HIVB2, HIVC2, HIVD2

5.2

48%

91%

HIVA2, HIVB2, HIVC2, HIVD2, HIVE2

4.5

49%

89%

Kontijevskis et al. [17] Fig. 1a

2.1

3%

99%

Kontijevskis et al. [17] Fig. 1b

1.7

87%

49%

Kontijevskis et al. [17] Table III

0.8

3%

97%

Kontijevskis et al. [17] Table IV

1.7

87%

49%

HIVcleave [37]

45.4

2%

100%

HIVcleave [37]

3.0

32%

89%

HIVcleave [37]

2.8

50%

82%

L-SVM [38]

29.1

2%

100%

L-SVM [38]

10.6

31%

97%

L-SVM [38]

6.7

50%

93%

  1. The positive likelihood ratios for different rules and predictors on the HIV-1 3261 data set. The results are shown for the OSRE HIV-1 rules and the Kontijevskis et al. rough set theory rules [17], together with some reference values for the HIVcleave web server [37] and a linear support vector machine [38].