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Table 1 The benchmarking results on the structural alignments of the CMfinder dataset ( β=10)

From: Incorporating phylogenetic-based covarying mutations into RNAalifold for RNA consensus structure prediction

Family

#seq

MPI

RNAalifold

PhyloRNAalifold

RNAalifold

with RIBOSUM

PhyloRNAalifold

with RIBOSUM

PETFold

Cobalamin

430

49.7

0.756

0.951

0.591

0.951

0.976

ctRNA_pGA1

15

73.0

0.979

0.979

0.979

0.979

1.000

Entero_CRE

56

81.7

0.912

0.912

0.916

0.916

1.000

Entero_OriR

60

87.4

0.47

0.681

0.703

0.703

0.747

glmS

18

57.4

0.973

0.987

1.000

1.000

0.987

Histone3

52

46.0

1.000

1.000

1.000

1.000

1.000

Intron_gpII

98

52.3

1.000

1.000

1.000

1.000

1.000

IRE

62

76.8

0.814

0.854

0.965

0.965

0.965

let-7

67

66.4

0.861

0.967

1.000

1.000

0.915

lin-4

12

68.8

0.977

1.000

1.000

1.000

0.836

Lysine

47

48.4

0.952

0.981

0.981

0.981

0.952

mir-10

36

67.9

0.789

0.865

0.957

0.957

0.935

Purine

133

54.7

0.904

1.000

1.000

1.000

0.977

RFN

144

68.1

0.826

0.851

0.826

1.000

1.000

Rhino_CRE

12

81.4

0.581

0.581

0.976

0.976

0.750

S_box

433

62.9

0.883

0.924

0.963

1.000

0.944

s2m

38

78.3

1.000

1.000

1.000

1.000

1.000

SECIS

61

41.0

0.972

1.000

1.000

1.000

0.972

Tymo_tRNA-like

28

68.2

0.908

0.908

0.910

0.910

0.975

  

Mean

0.871

0.918

0.935

0.965

0.944

  

Specificity

1.000

1.000

1.000

1.000

1.000

  

Sensitivity

0.802

0.881

0.919

0.952

0.922

  1. The MCC on structural alignments of the CMfinder dataset is compared among PhyloRNAalifold, RNAalifold and PETfold. The parameter β of PhyloRNAalifold is 10. Best performance on the same family is set to bold.