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Table 3 Evaluation of predictive accuracy TP = true positives, sens. = sensitivity, FP = false positives, sel. = selectivity, K = (number of correct predicted pseudoknot helices)/ (expected number of pseudoknot helices). False negatives can be derived from: FN = BP – TP. For HIVRT, PseudoBase and tRNA the average over all sequences is taken.

From: Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics

  

RNAfold

pknotsRE

pknotsRG-mfe

Sequence

BP

TP(sens.)

FP(sel.)

K

TP(sens.)

FP(sel.)

K

TP(sens.)

FP(sel.)

K

PseudoBase

13.1

7.1(54.2)

4.4(61.9)

-

9.2(72.3)

3.8(70.7)

-

10.2(77.3)

3.5(74.7)

-

HIVRT

11

4.7(42.8)

1.7(73.3)

1/2

11(100)

0(100)

2/2

11(100)

0(100)

2/2

tRNAs

18.7

9.4(50.4)

12.5(43.0)

0/0

-

-

-

9.8(52.3)

12.2(44.5)

0/0

HDV

32

12(37.5)

16(42.9)

2/4

14(43.8)

16(46.7)

2/4

29(90.6)

2(93.5)

3/4

ag-HDV

25

4(16.0)

24(14.3)

1/2

24(96.0)

9(72.7)

2/2

21(84.0)

11(65.6)

2/2

TYMV

24

17(70.8)

6(73.9)

1/2

24(100)

1(96.0)

2/2

23(95.8)

2(92.0)

2/2

TMV

25

13(52.0)

8(61.9)

3/6

13(52.0)

9(59.1)

3/6

20(80.0)

4(83.3)

6/6

STNV

69

26(37.7)

54(32.5)

2/8

-

-

-

42(60.9)

37(53.2)

5/8